Journal Articles
2020(4 publications)
[publication]J. Fernandes and Duarte Raposo and Ngombo Armando and Sinche Soraya and Jorge Sá Silva and Rodrigues, A. and Vasco Pereira and Gonçalo Oliveira, H,  and Macedo, L. and Boavida, F. , "ISABELA – A Socially-Aware Human-in-the-Loop Advisor System", Online Social Networks and Media,  vol. 16,  pp. 100060-100060, 2020

[publication]Navarro-Cáceres, M. and Gonçalo Oliveira, H,  and Martins, P. and Amilcar Cardoso , "Integration of a music generator and a song lyrics generator to create Spanish popular songs", Journal of Ambient Intelligence and Humanized Computing, 2020
[citation][year=2020]Shi, N. and Wang, Y. (2020). Symmetry in computer-aided music composition system with social network analysis and artificial neural network methods. Journal of Ambient Intelligence and Humanized Computing.
[citation][year=2020]Iqbal, A. (2020). The effects of quantum randomness on a system exhibiting computational creativity. https://arxiv.org/abs/2008.11545.

[publication]Lopes, F. and Teixeira, C. and Gonçalo Oliveira, H,  , "Comparing Different Methods for Named Entity Recognition in Portuguese Neurology Text", Journal of Medical Systems, 2020

[publication]Santos, J. and Duarte, L. and Ferreira, J. and Alves, A. and Gonçalo Oliveira, H,  , " Developing Amaia: A Conversational Agent for Helping Portuguese Entrepreneurs—An Extensive Exploration of Question-Matching Approaches for Portuguese", Information,  vol. 11, 2020

2019(3 publications)
[publication]Xiao, P. and Toivonen, H. and Gross, O. and Amilcar Cardoso and Correia, J. and Penousal Machado and Martins, P. and Gonçalo Oliveira, H,  and Rahul Sharma and A. M. Pinto and Díaz, A. and Francisco, V. and Gervás, P. and Hervás, R. and León, C. and Forth, J. and Purver, M. and Wiggins, G. and Bohanec, M. and Lavrac, N. and Miljkovic, D. and Podpecan, V. and Pollak, S. and Urbancic, T. and Znidarsic, M. and Velde, F.v.d. and Battersby, S. , "Conceptual Representations for Concept Creation", ACM Computing Surveys,  vol. 52, 2019
[citation][year=2019]Vimercati, M., Bianchi, F., Soto, M., & Palmonari, M. (2019, November). Mapping Lexical Knowledge to Distributed Models for Ontology Concept Invention. In International Conference of the Italian Association for Artificial Intelligence (pp. 572-587). Springer, Cham.
[citation][year=2019]Lawrynowicz, A. (2020). Creative AI: a New Avenue for Semantic Web? Semantic Web 11(1):69-78.

[publication]Gonçalo Oliveira, H,  and Mendes, T. and Boavida, A. and Nakamura, A. and Ackerman, M. , "Co-PoeTryMe: Interactive poetry generation", Cognitive Systems Research,  vol. 54,  pp. 199-216, 2019
[citation][year=2020]Falomir, Z., Gibert, K., and Plaza, E. (2020). Special issue on pattern recognition and cognitive assistants. Elsevier.
[citation][year=2020]Hegade, P. (2020). Po-miner: Random poem generator and security model. In 2020 Indo– Taiwan 2nd International Conference on Computing, Analytics and Networks (Indo-Taiwan ICAN), pages 81–85. IEEE.

[publication]Martins, P. and Gonçalo Oliveira, H,  and João Gonçalves and Cruz, A. and Amilcar Cardoso and Znidarsic, M. and Lavrac, N. and Linkola, S. and Toivonen, H. and Hervás, R. and Méndez, G. and Gervás, P. , "Computational creativity infrastructure for online software composition: A conceptual blending use case", IBM Journal of Research and Development,  vol. 63,  pp. 1-17, 2019
[citation][year=2020]Lawrynowicz, A. (2020). Creative AI: a New Avenue for Semantic Web? Semantic Web 11(1):69-78.
[citation][year=2020]Calazans, A. T. S., Cerqueira, A. J., and Canedo, E. D. (2020). Empathy and criativity in privacy requirements elicitation: Systematic literature review. In Conference WER20 - Workshop em Engenharia de Requisito, São José dos Campos, SP, Brasil.

2018(3 publications)
[publication]Gonçalo Oliveira, H,  , "Distributional and Knowledge-Based Approaches for Computing Portuguese Word Similarity", Information,  vol. 9, 2018
[citation][year=2019]Berlitz, E. E., Araujo, D. A., Silva, A. B., Righi, R. R., and Rigo, S. J. (2019). Distributional models with syntactic contexts for the measurement of word similarity in Brazilian portuguese. Journal of Computer Science, 15(10):1378–1389.

[publication]Gonçalo Oliveira, H,  , "A Survey on Portuguese Lexical Knowledge Bases: Contents, Comparison and Combination", Information,  vol. 9, 2018
[citation][year=2020]Salgado, A., Ahmadi, S., Simões, A., McCrae, J. P., and Costa, R. (2020). Challenges of word sense alignment: Portuguese language resources. In the 7th Workshop on Linked Data in Linguistics: Building tools and infrastructure at the 12th International Conference on Language Resources and Evaluation (LREC). National University of Ireland Galway.
[citation][year=2020]de Campos, T. E., de Paulo Faleiros, T., Borges, V. R. P., Alves, I., and Okimoto, C. A. (2020). Relatório técnico parcial 1 do projeto KnEDLe / NIDO Technical report, Universidade de Brasília.

[publication]Gonçalo Oliveira, H,  and Ricardo Rodrigues , "Explorando a Geração Automática de Adivinhas em Português", Linguamática,  pp. 3-18, 2018

2017(2 publications)
[publication]Alexandre Pinto and Gonçalo Oliveira, H,  and Alves, A. , "Predicting the Relevance of Social Media Posts Based on Linguistic Features and Journalistic Criteria", New Generation Computing,  vol. 35,  pp. 451-472, 2017
[citation][year=2020]Mahmood, A., Khan, H. U., and Ramzan, M. (2020). On modelling for bias-aware sentiment analysis and its impact in Twitter. Journal of Web Engineering, 19(1):1–28.
[citation][year=2020]Camilleri, S., Agius, M. R., and Azzopardi, J. (2020). Analysis of online news coverage on earthquakes through text mining. Frontiers in Earth Science, 8:141.
[citation][year=2020]Jurado, F. (2020). Journalistic transparency using CRFs to identify the reporter of newspaper articles in Spanish. Applied Soft Computing.
[citation][year=2019]Resende, J. S., Martins, R., and Antunes, L. (2019). A survey on using Kolmogorov complexity in cybersecurity. Entropy, 21(12).
[citation][year=2017]Miranda, F. F. (2017). Computing the accuracy of an automatic system for relevance detection in social networks. Master’s thesis, Universidade do Porto.

[publication]Gonçalo Oliveira, H,  and Hervás, R. and Díaz, A. and Gervás, P. , "Multilingual Extension and Evaluation of a Poetry Generator", Natural Language Engineering,  vol. 23,  pp. 929-967, 2017
[citation][year=2020]Gao, R., Zhu, Y., Li, M., Li, S., and Shi, X. (2020). Encoder–Decoder Couplet Generation Model Based on ‘Trapezoidal Context’ Character Vector. The Computer Journal.
[citation][year=2019]Vincent, R. (2019). Multilingual poetry generation. Master’s thesis, Norwegian University of Science and Technology.
[citation][year=2019]Wu, C.-C., Song, R., Sakai, T., Cheng, W.-F., Xie, X., and Lin, S.-D. (2019). Evaluating image-inspired poetry generation. In Natural Language Processing and Chinese Computing (NLPCC 2019), volume 11838 of LNCS, pages 539–551, Cham. Springer International Publishing.
[citation][year=2019]Hamalainen, M. and Alnajjar, K. (2019). Let’s face it. Finnish poetry generation with aesthetics and framing. In Proceedings of 12th International Conference on Natural Language Generation, INLG 2019. Association for Computational Linguistics.
[citation][year=2018]Schlegel, U., Cakmak, E., Buchmuller, J., and Keim, D. A. (2018). G-Rap: interactive text synthesis using recurrent neural network suggestions. In Proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018.

2016(2 publications)
[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Revisiting the ontologising of semantic relation arguments in wordnet synsets", Natural Language Engineering,  vol. 22,  pp. 819-848, 2016
[citation][year=2016]Catarina Inês Marques de Lucena (2016). Framework for collaborative knowledge management in organizations. PhD thesis, Universidade Nova de Lisboa.

[publication]Alves, A. and Ricardo Rodrigues and Gonçalo Oliveira, H,  , "ASAPP: Alinhamento Semântico Automático de Palavras aplicado ao Português", Linguamática,  vol. 8,  pp. 43-58, 2016
[citation][year=2020]Cabezudo, M. A. S., Inácio, M., Rodrigues, A. C., Casanova, E., and de Sousa, R. F. (2020). Natural language inference for Portuguese using BERT and multilingual information. In Computational Processing of the Portuguese Language - 14th International Conference, PROPOR 2020, Evora, Portugal, March 2-4, 2020, Proceedings, volume 12037 of LNCS, pages 346–356. Springer.
[citation][year=2020]Cabezudo, M. A. S., Inácio, M., Rodrigues, A. C., Casanova, E., and de Sousa, R. F. (2020). NILC at ASSIN 2: Exploring multilingual approaches. In Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, volume 2583 of CEUR Workshop Proceedings. CEUR-WS.org.
[citation][year=2019]Silva, A., Lozkins, A., Bertoldi, L. R., Rigo, S., and Bure, V. M. (2019). Semantic Textual Similarity on Brazilian Portuguese: An approach based on language-mixture models. Vestnik of Saint Petersburg University, 15(2):235–244.
[citation][year=2018]de Barcelos Silva, A. and Rigo, S. J. (2018). Enhancing Brazilian Portuguese textual entailment recognition with a hybrid approach. Journal of Computer Science, 14(9):945– 956.
[citation][year=2018]Fonseca, E. R. and Aluísio, S. M. (2018). Syntactic knowledge for natural language inference in Portuguese. In Computational Processing of the Portuguese Language - 13th Inter- national Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings, volume 11122 of LNCS, pages 242–252. Springer.
[citation][year=2018]Gamallo, P. and Pereira-Fariña, M. (2018). Exploring unsupervised methods to textual similarity. In Proceedings of 1st Workshop on Linguistic Tools and Resources for Paraphrasing in Portuguese (POP), Canela, Brazil.
[citation][year=2018]Rocha, G. and Lopes Cardoso, H. (2018). Recognizing textual entailment: Challenges in the Portuguese language. Information, 9(4).
[citation][year=2018]de Barcelos Silva, A. (2018). O uso de recursos linguísticos para mensurar a semelhança semântica entre frases curtas através de uma abordagem híbrida. Master’s thesis, Universidade do Vale do Rio dos Sinos (UNISINOS).
[citation][year=2018]Gamallo, P. and Pereira-Fariña, M. (2018). Explorando métodos non-supervisados para calcular a similitude semántica textual. Linguamática, 10(2):63–68.
[citation][year=2017]Cavalcanti, A. P., Ferreira, R., Ferreira, M. A. D., Neto, S., Passero, G., and Miranda, P. (2017). Uma Nova Abordagem para Detecção de Plágio em Ambientes Educacionais. In Anais do XXVIII Simpósio Brasileiro de Informática na Educação (SBIE 2017), pages 1177–1186.
[citation][year=2017]Cavalcanti, A. P., de Mello, R. F. L., Ferreira, M. A. D., Rolim, V. B., and Tenório, J. V. S. (2017). Statistical and semantic features to measure sentence similarity in Portuguese. In Proceedings of 6th Brazilian Conference on Intelligent Systems, BRACIS 2017, pages 342–347, Uberlândia, MG, Brazil.
[citation][year=2017]Rocha, G. and Cardoso, H. L. (2017). Recognizing textual entailment and paraphrases in Portuguese. In Progress in Artificial Intelligence - Proceedings of 18th Portuguese Conference on Artificial Intelligence, Porto, Portugal, September 5-8, 2017, volume 10423 of LNCS, pages 868–879. Springer.
[citation][year=2017]Feitosa, D. B. and Pinheiro, V. C. (2017). Análise de medidas de similaridade semântica na tarefa de reconhecimento de implicação textual. In Proceedings of Symposium in Information and Human Language Technology. Uberlandia, MG, Brazil, October 25, 2017, STIL 2017, pages 161–170. SBC.
[citation][year=2017]de Barcelos Silva, A., Rigo, S. J., Alves, I. M., and Barbosa, J. L. V. (2017). Avaliando a similaridade semântica entre frases curtas através de uma abordagem híbrida. In Proceedings of Symposium in Information and Human Language Technology. Uberlandia, MG, Brazil, October 25, 2017, STIL 2017, pages 93–102. SBC.
[citation][year=2016]Erick Rocha Fonseca, Leandro Borges dos Santos, Marcelo Criscuolo, Sandra Maria Aluísio. Visão Geral da Avaliação de Similaridade Semântica e Inferência Textual. Linguamática, Vol. 8, #2, pp. 3-13. December 2016.
[citation][year=2016]Pedro Fialho, Ricardo Marques, Bruno Martins, Luísa Coheur, Paulo Quaresma. INESC-ID@ASSIN: Medição de Similaridade Semântica e Reconhecimento de Inferência Textual. Linguamática, Vol. 8, #2, pp. 23-31. December 2016.

2015(3 publications)
[publication]Gonçalo Oliveira, H,  and Paiva, V.d. and Freitas, C. and Rademaker, A. and Real, L. and Simões, A. , "As wordnets do português", OSLa: Oslo Studies in Language,  vol. 7,  pp. 397-424, 2015
[citation][year=2020]Nunes, A. P. M., de Jesus, L. E. N., Claro, D. B., Mota, J., Ribeiro, S., Paim, M., and Oliveira, J. (2020). Vitality analysis of the linguistic atlas of Brazil on Twitter. In Computational Processing of the Portuguese Language - 14th International Conference, PROPOR 2020, Evora, Portugal, March 2-4, 2020, Proceedings, volume 12037 of LNCS, pages 184–194. Springer.
[citation][year=2018]de Barcelos Silva, A. (2018). O uso de recursos linguísticos para mensurar a semelhança semântica entre frases curtas através de uma abordagem híbrida. Master’s thesis, Universidade do Vale do Rio dos Sinos (UNISINOS).
[citation][year=2017]Nau, J., Filho, A. H., and Passero, G. (2017). Evaluating semantic analysis methods for short answer grading using linear regression. PEOPLE: International Journal of Social Sciences, 3(2):437–450.
[citation][year=2017]Fonseca, E., Sesti, V., Antonitsch, A., Vanin, A., and Vieira, R. (2017). CORP: Uma abordagem baseada em regras e conhecimento semntico para a resoluo de correferncias. Linguamática, 9(1):3–18.
[citation][year=2017]Rodrigues, A. X. C. (2017). Validação de termos de domínio por meio de uma base lexical-semântica difusa. TradTerm – Revista do Centro Interdepartamental de Tradução e Terminologia, 30:71–86.
[citation][year=2017]de Almeida, W. R. (2017). PortService-BR: Uma plataforma para processamento de linguagem natural para língua portuguesa. Master’s thesis, Universidade Federal do Esprito Santo, Vitória.
[citation][year=2016]Passero, G., Filho, A. H., and Dazzi, R. (2016). Avaliação do uso de métodos baseados em LSA e wordnet para correção de questões discursivas. In Anais do XXVII Simpsio Brasileiro de Informática na Educação (SBIE 2016), pages 1136–1145.
[citation][year=2016]Wilkens, R., Zilio, L., Idiart, M., Filho, J. W., Ferreira, E., Mollmann, L., Pasqualini, B., and Villavicencio, A. (2016). Resources for monolingual translation: a case study of text simplification for portuguese. In Proceedings Corpora and Tools for Processing Corpora at PROPOR 2016, pages 46–55.

[publication]Gonçalo Oliveira, H,  , "Tra-la-lyrics 2.0: Automatic generation of song lyrics on a semantic domain", Journal of Artificial General Intelligence,  vol. 6,  pp. 87-110, 2015
[citation][year=2020]Lampridis, O., Kefalas, A., and Tzallas, P. (2020). Greek lyrics generation. Artificial Intelligence Applications and Innovations, 584:445 – 454.
[citation][year=2020]Nishimura, A. and Itoh, T. (2020). Implementation and experiments for interactive lyrics transcreation system. Visual Computing for Industry, Biomedicine, and Art, 3(17).
[citation][year=2019]Nishimura, A. and Itoh, T. (2019). Interactive lyric translation system: Implementation and experiments. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, CHI EA ’19, pages LBW1518:1–LBW1518:6, New York, NY, USA. ACM.
[citation][year=2019]Dias, D. S. and Fernando, T. G. I. (2019). Komposer – automated musical note generation based on lyrics with recurrent neural networks. In Proceedings of EEE First International Conference on Artificial Intelligence and Data Sciences (AiDAS), Malaysia.
[citation][year=2018]Nishimura, A. and Itoh, T. (2018). Implementation of an interactive system for the translation of lyrics. In Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, IUI’18, pages 9:1–9:2, New York, NY, USA. ACM.
[citation][year=2018]Munigala, V., Mishra, A., Tamilselvam, S. G., Khare, S., Dasgupta, R., and Sankaran, A. (2018). PersuAIDE ! an adaptive persuasive text generation system for fashion domain. In Companion of the The Web Conference 2018 on The Web Conference 2018, WWW ’18, pages 335– 342, Republic and Canton of Geneva, Switzerland. International World Wide Web Conferences Steering Committee.
[citation][year=2018]Davies, C., Wiratunga, N., and Martin, K. (2018). Gramerror: A quality metric for machine generated songs. In Proceedings of 38th SGAI International Conference on Artificial Intelligence, volume 11311 of Lecture Notes in Computer Science, pages 184–190. Springer.
[citation][year=2018]Singh, D. (2018). Automated lyrical narrative writing. Master’s thesis, San Jose State University.
[citation][year=2018]Lamb, C. E. (2018). TwitSong: A current events computer poet and the thorny problem of assessment. PhD thesis, University of Waterloo, Ontario, Canada.
[citation][year=2018]Watanabe, K., Matsubayashi, Y., Fukayama, S., Goto, M., Inui, K., and Nakano, T. (2018). A melody-conditioned lyrics language model. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 163–172. ACL Press.
[citation][year=2017]Singh, D., Ackerman, M., and Prez, R. P. Y. (2017). A ballad of the Mexicas: Automated lyrical narrative writing. In Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017, Atlanta, Georgia, USA.
[citation][year=2017]Bay, B., Bodily, P., and Ventura, D. (2017). Creative text transformation via constraints and word embedding. In Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017, Atlanta, Georgia, USA.
[citation][year=2017]Ackerman, M. and Loker, D. (2017). Algorithmic songwriting with ALYSIA. In
Proceedings of International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART), volume 10198 of LNCS. Springer.
[citation][year=2017]Bodily, P. (2017). Human-level concept learning for musical metacreativity in lyrical sectional- form symbolic music. In Proceedings of the Doctoral Consortium of the International Conference on Computational Creativity (DC@ICCC17), Atlanta, Georgia, USA.
[citation][year=2017]Watanabe, K., Matsubayashi, Y., Inui, K., Nakano, T., Fukayama, S., and Goto, M. (2017). Lyrisys: An interactive support system for writing lyrics based on topic transition. In Proceedings of the 22nd International Conference on Intelligent User Interfaces, IUI ’17, pages 559–563, New York, NY, USA. ACM.
[citation][year=2017]Lamb, C., Brown, D. G., and Clarke, C. L. (2017). A taxonomy of generative poetry techniques. Journal of Mathematics and the Arts, 11(3):159–179.

[publication]Santos, F. and Gonçalo Oliveira, H,  , "Descoberta de Synsets Difusos com base na Redundância em vários Dicionários", Linguamática,  vol. 7,  pp. 3-17, 2015
[citation][year=2017]Rodrigues, A. X. C. (2017). Validação de termos de domínio por meio de uma base lexical-semântica difusa. TradTerm – Revista do Centro Interdepartamental de Tradução e Terminologia, 30:71–86.

2014(1 publication)
[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "ECO and Onto.PT: A flexible approach for creating a Portuguese wordnet automatically", Language Resources and Evaluation Journal,  vol. 48,  pp. 373-393, 2014
[citation][year=2020]Fonseca, E. and Alvarenga, J. P. R. (2020). Wide and deep transformers applied to semantic relatedness and textual entailment. In Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, volume 2583 of CEUR Workshop Proceedings. CEUR-WS.org.
[citation][year=2020]Branco, A., Grilo, S., Bolrinha, M., Saedi, C., Branco, R., Silva, J., Querido, A., de Carvalho, R., Gaudio, R., Avelãs, M., and Pinto, C. (2020). The mwn.pt wordnet for portuguese: Projection, validation, cross-lingual alignment and distribution. In Proceedings of The 12th Language Resources and Evaluation Conference, pages 4861–4868, Marseille, France. ELRA.
[citation][year=2020]de Sousa, A. G., Ribeiro., D. D. S., de Sousa., R. C. C., Rodrigues., A. M. B., Furtado., P. H. T., Barbosa., S. D. J., and Lopes., H. (2020). Using a domain ontology to bridge the gap between user intention and expression in natural language queries. In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,, pages 751–758. INSTICC, SciTePress.
[citation][year=2020]Salgado, A., Ahmadi, S., Simões, A., McCrae, J. P., and Costa, R. (2020). Challenges of word sense alignment: Portuguese language resources. In the 7th Workshop on Linked Data in Linguistics: Building tools and infrastructure at the 12th International Conference on Language Resources and Evaluation (LREC). National University of Ireland Galway.
[citation][year=2019]Ercan, G. and Haziyev, F. (2019). Synset expansion on translation graph for automatic wordnet construction. Information Processing & Management, 56(1):130–150.
[citation][year=2019]Ustalov, D., Panchenko, A., Biemann, C., and Ponzetto, S. P. (online since June 2019). Watset: Local-Global graph clustering with applications in sense and frame induction. Computational Linguistics.
[citation][year=2019]Shen, J., Lyu, R., Ren, X., Vanni, M., Sadler, B., and Han, J. (2019). Mining entity synonyms with efficient neural set generation. In Proceedings of 33rd AAAI Conference on Artificial Intelligence. AAAI Press.
[citation][year=2019]da Costa, J. A. F. (2019). AutoSpeech: Automatic speech analysis of verbal fluency for older adults. Master’s thesis, Universidade do Porto.
[citation][year=2019]Rai, S., Jain, A., and Pandey, P. (2019). Inclusion of Wikipedia, a language specific knowledge resource to generate and update a synset in wordnet. International Journal of Technology, Policy and Management, 19(4).
[citation][year=2018]Ustalov, D., Panchenko, A., Biemann, C., and Ponzetto, S. P. (2018). Local-Global Graph Clustering with Applications in Sense and Frame Induction. ArXiv e-prints.
[citation][year=2018]de Paiva, V., Rademaker, A., Real, L., Chalub, F., and de Melo, G. (2018). Openwordnet-pt: Taking stock. In Proceedings of the 5th Natural Language in Computer Science (NLCS), Oxford, UK.
[citation][year=2018]Lima, T., Collovini, S., Leal, A. L., Fonseca, E., Han, X., Huang, S., and Vieira, R. (2018). Analysing semantic resources for coreference resolution. In Computational Processing of the Portuguese Language - 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings, volume 11122 of LNCS, pages 284–293. Springer.
[citation][year=2018]Alexeyevsky, D. (2018). Word sense disambiguation features for taxonomy extraction. Computación y Systemas, 22(3).
[citation][year=2018]Antonio, N., de Almeida, A., Nunes, L., Batista, F., and Ribeiro, R. (2018). Hotel online reviews: different languages, different opinions. Information Technology & Tourism, online since March 2018.
[citation][year=2018]Simões, A. and Guinovart, X. G. (2018). Extending the Galician Wordnet Using a Multilingual Bible Through Lexical Alignment and Semantic Annotation. In 7th Symposium on Languages, Applications and Technologies (SLATE 2018), volume 62 of OASIcs, pages 14:1–14:13, Dagstuhl, Germany. Schloss Dagstuhl.
[citation][year=2018]Fonseca, E. B. (2018). Resolução de Correferência Nominal Usando Semântica em Língua Portuguesa. PhD thesis, Pontfícia Universidade Católica do Rio Grande do Sul.
[citation][year=2017]Ustalov, D. (2017). Concept discovery from synonymy graphs. Journal of Computational Technologies, 22:99–112.
[citation][year=2017]Ustalov, D. and Sozykin, A. (2017). A software system for automatic construction of a semantic word network. Computational Mathematics and Informatics, 6(2).
[citation][year=2017]Chernobay, Y. (2017). Building wordnet for Russian language from RU.Wiktionary. In Proceedings of Conference on Artificial Intelligence and Natural Language (AINL 2017), volume 789 of CCIS, pages 113–120. Springer, Cham.
[citation][year=2017]Rodrigues, A. X. C. (2017). Validação de termos de domínio por meio de uma base lexical-semântica difusa. TradTerm – Revista do Centro Interdepartamental de Tradução e Terminologia, 30:71–86.
[citation][year=2017]de Almeida, W. R. (2017). PortService-BR: Uma plataforma para processamento de linguagem natural para língua portuguesa. Master’s thesis, Universidade Federal do Esprito Santo, Vitória.
[citation][year=2017]Ustalov, D., Chernoskutov, M., Biemann, C., and Panchenko, A. (2017). Fighting with the sparsity of synonymy dictionaries for automatic synset induction. In Proceedings of the 6th Conference on Analysis of Images, Social Networks, and Texts (AIST’2017). Springer.
[citation][year=2016]Ustalov, D. A. (2016). Joining dictionaries and word embeddings for ontology induction. In Proceedings of the Institute for System Programming (ISP RAS), volume 28, pages 197–206.
[citation][year=2016]Fonseca, E., Vieira, R., and Vanin, A. (2016). CORP: Coreference resolution for Portuguese. In Demo session of PROPOR 2016 – 12th International Conference on the Processing of the Portuguese Language.
[citation][year=2016]Simões, A., Guinovart, X. G., and Almeida, J. J. (2016). Enriching a portuguese wordnet using synonyms from a monolingual dictionary. In Proceedings of 10th International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia. ELRA.
[citation][year=2016]Fonseca, E., Vieira, R., and Vanin, A. (2016). Adapting an entity centric model for portuguese coreference resolution. In Proceedings of 10th International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia. ELRA.
[citation][year=2016]Fonseca, E., Vieira, R., and Vanin, A. (2016). Improving coreference resolution with semantic knowledge. In Proceedings of 12th International Conference on Computational Processing of the Portuguese Language (PROPOR 2016), volume 9727 of LNAI, pages 213–224, Tomar, Portugal. Springer.
[citation][year=2016]Reis, S. and Baptista, J. (2016). Let's play wit proverbs? nlp tools and resources for icall applications around proverbs for pf. In Proceedings of the International Congress on Interdisciplinarity in Social and Human Sciences, pages 435–454. Research Centre for Spatial and Organizational Dynamics, University of Algarve.
[citation][year=2016]Vieira, R., do Amaral, D., Collovini, S., Fonseca, E., Freitas, A., Freitas, L., Granada, R., Hilgert, L., Lopes, L., Schmidt, D., Severo, B., Souza, M., and Trojahn, C. (2016). Language resources for information extraction and semantic computing - NLP at PUCRS. In Proceedings Corpora and Tools for Processing Corpora at PROPOR 2016, pages 17–25.
[citation][year=2015]Wilkens, R., Zilio, L., Ferreira, E., Gonçalves, G., and Villavicencio, A. (2015). Tesauros distribucionais para o português: avaliação de metodologias. In Proceedings of Symposium in Information and Human Language Technology, STIL 2015, pages 131–140, Natal, RN, Brazil.
[citation][year=2015]Mendonça, V., Coheur, L., and Sardinha, A. (2015). Vithea-kids: A platform for improving language skills of children with autism spectrum disorder. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility, ASSETS ’15, pages 345–346, New York, NY, USA. ACM Press.
[citation][year=2015]Gonçalves, G. C. (2015). Construção e avaliação de modelos semânticos distribucionais. BSc’s thesis, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
[citation][year=2015]Simões, A. and Almeida, J. J. (2015). Experiments on enlarging a lexical ontology. In Languages, Applications and Technologies – Revised Selected Papers of 4th International Symposium SLATE 2015, Madrid, Spain, June, CCIS, pages 49–56. Springer.
[citation][year=2015]Evandro B. Fonseca, Renata Vieira, Aline A. Vanin. Dealing With Imbalanced Datasets For Coreference Resolution. Proceedings of the 28th International Florida Artificial Intelligence Research Society Conference (FLAIRS), pp. 169-174. AAAI, 2015.
[citation][year=2015]Lagutina, N., Paramonov, I., Vorontsova, I., and Kasatkina, N. (2015). An approach to automated thesaurus construction using clusterization-based dictionary analysis. In Proceedings of the 17th Conference of FRUCT Association, pages 104–109, Yaroslav, Russia. ITMO University.
[citation][year=2015]Mendonça, V. (2015). Project: Extending VITHEA in order to improve children’s linguistic skills. Master’s thesis, Instituto Superior Técnico.
[citation][year=2015]Amita Jain, Devendra K. Tayal, Sunny Rai. Shrinking digital gap through automatic generation of WordNet for Indian languages. AI & SOCIETY 30(2):215–222. Springer, May 2015.
[citation][year=2014]Brett Drury, Paula C.F. Cardoso, Janie M. Thomas, Alneu de Andrade Lopes. Lexical Resources for the Identification of Causative Relations in Portuguese Texts. Proceedings of the 1st Workshop on Tools and Resources for Automatically Processing Portuguese and Spanish (ToRPorEsp), pp 56-63. São Carlos, SP, Brasil. 2014
[citation][year=2014]Xavier Gómez Guinovar and Miguel Anxo Solla Portela (2014). O dicionario de sinónimos como recurso para a expansión de wordnet. Linguamática, 6(2):69–74

2013(1 publication)
[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Towards the automatic enrichment of a thesaurus with information in dictionaries", Expert Systems,  vol. 30,  pp. 320-332, 2013
[citation][year=2017]Hetsevich, Y. and Reentovich, I. (2016). Linguistic analysis for the be- larusian corpus with the application of natural language processing and machine learning techniques. (Informatics), 56(4):64–69.

2012(1 publication)
[publication]Ricardo Rodrigues and Gonçalo Oliveira, H,  and Paulo Gomes , "Uma Abordagem ao Págico baseada no Processamento e Análise de Sintagmas dos Tópicos", Linguamática,  vol. 4,  pp. 31-39, 2012
[citation][year=2016]Gonçalves, P. N. and Branco, A. H. (2016). A comparative evaluation of QA systems over list questions. In Proceedings of 12th International Conference on Computational Processing of the Portuguese Language (PROPOR 2016), volume 9727 of LNAI, pages 115–121, Tomar, Portugal. Springer.
[citation][year=2012]Jorge O. Santos, Ana O. Alves, Francisco C. Pereira, Pedro H. Abreu. Semantic Enrichment of Places for the Portuguese Language. Actas do Inforum 2012, Simpósio de Informática, Lisboa, Portugal.
[citation][year=2012]Cláudia Freitas. A lusofonia na Wikipédia em 150 tópicos. Linguamática, Vol. 4, #1, pp. 9-18, April 2012
[citation][year=2012]Cristina Mota. Resultados págicos: participação, medidas e pontuação. Linguamática, Vol. 4, #1, pp. 77-91, April 2012

2011(1 publication)
[publication]Gonçalo Oliveira, H,  and Pérez, L.A. and Costa, Hernani and Paulo Gomes , "Uma rede léxico-semântica de grandes dimensões para o português, extraída a partir de dicionários electrónicos", Linguamática,  vol. 3,  pp. 23-38, 2011
[citation][year=2018]Gamallo, P. and Pereira-Fariña, M. (2018). Explorando métodos non-supervisados para calcular a similitude semántica textual. Linguamática, 10(2):63–68.
[citation][year=2012]Irene Renau, Rogelio Nazar. Hypernymy relations from definiens-definiendum co-occurrence in multiple dictionary definitions. Procesamiento de Lenguaje Natural, n.49, pp 83-90. 2012

2010(1 publication)
[publication]Gonçalo Oliveira, H,  and Santos, D. and Paulo Gomes , "Extracção de relações semânticas entre palavras a partir de um dicionário: o PAPEL e a sua avaliação", Linguamática,  vol. 2,  pp. 77-93, 2010
[citation][year=2018]Gamallo, P. and Pereira-Fariña, M. (2018). Explorando métodos non-supervisados para calcular a similitude semántica textual. Linguamática, 10(2):63–68.
[citation][year=2014]Rui Pedro Talhadas dos Santos. Automatic Semantic Role Labeling for European Portuguese. MSc Thesis (Dissertação
Mestrado em Ciências da Linguagem). Universidade do Algarve, Faro 2014.
[citation][year=2014]Erick Nilsen Pereira de Souza and Daniela Barreiro Claro (2014). Extração de relações utilizando features diferenciadas para português. Linguamática, 6(2):57–68.
[citation][year=2013]Rui Talhadas and Nuno Mamede and Jorge Baptista. (2013). Semantic roles for Portuguese verbs. In Proceedings of 32nd International Conference on Lexis and Grammar, pp 127-132. Faro, Portugal.
[citation][year=2013]Auto Tavares da Câmara Júnior. Processamento de Linguagem Natural para Indexação Automática Semântico-Ontológica. PhD Thesis. Universidade de Brasília, UNB, Brasil. 2013
[citation][year=2012]Mário J. Silva, Paula Carvalho and Luís Sarmento. Building a Sentiment Lexicon for Social Judgement Mining. Proceedings of Computational Processing of the Portuguese Language (PROPOR 2012), pp. 218-228, LNCS Volume 7243/2012. 2012.
[citation][year=2012]Jorge Alexandre Gomes de Oliveira Santos. KUSCO@TICE.Mobilidade: Enriquecimento Semântico de Lugares e Eventos. MSc Thesis. University of Coimbra. 2012
[citation][year=2012]Leonardo Zilio, Kassius Prestes, Rodrigo Wilkens, Aline Villavicencio. Geração semi-automática de uma ontologia geral de língua comum. XI Encontro de Linguística de Corpus (ELC), São Carlos, SP, Brasil, 2012.
[citation][year=2011]Mário Rodrigues, Gonçalo Paiva Dias, António Teixeira.
Criação e Acesso a Informação Semântica Aplicada ao Governo Eletrónico.
Linguamática vol- 3 #2. 2011.
[citation][year=2010]Mário J. Silva, Paula Carvalho, Carlos Costa, Luís Sarmento, Automatic Expansion of a Social Judgment Lexicon for Sentiment Analysis Technical Report. TR 10-08. University of Lisbon, Faculty of Sciences, LASIGE, December 2010. doi: 10455/6694

Conference Articles
2020(9 publications)
[publication]Santos, J. and Alves, A. and Gonçalo Oliveira, H,  , "Leveraging on Semantic Textual Similarity for Developing a Portuguese Dialogue System", in 13th International Conference on the Computational Processing of the Portuguese Language (PROPOR 2020), 2020

[publication]Sousa, T. and Alves, A. and Gonçalo Oliveira, H,  , "Exploring Portuguese Word Embeddings for Discovering Lexical-Semantic Relations", in 13th International Conference on the Computational Processing of the Portuguese Language (PROPOR 2020), 2020

[publication]Duarte, L. and Macedo, L. and Gonçalo Oliveira, H,  , "Emoji Prediction for Portuguese", in 13th International Conference on the Computational Processing of the Portuguese Language (PROPOR 2020), 2020
[citation][year=2020]Jiang, H., Guo, A., and Ma, J. (2020). Genre-based emoji usage analysis and prediction in video comments. In Proceedings of IEEE Joint Cyber Science and Technology 2020.

[publication]Real, L. and Fonseca, E. and Gonçalo Oliveira, H,  , "The ASSIN 2 shared task: a quick overview", in 13th International Conference on the Computational Processing of the Portuguese Language (PROPOR 2020), 2020
[citation][year=2020]Carmo, D., Piau, M., Campiotti, I., Nogueira, R., and Lotufo, R. (2020). PTT5: Pre-training and validating the T5 model on Brazilian Portuguese data. https://arxiv.org/abs/2008.09144.

[publication]Real, L. and Fonseca, E. and Gonçalo Oliveira, H,  , "Organizing the ASSIN 2 Shared Task", in ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, 2020
[citation][year=2020]Fonseca, E. and Alvarenga, J. P. R. (2020). Wide and deep transformers applied to semantic relatedness and textual entailment. In Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, volume 2583 of CEUR Workshop Proceedings. CEUR-WS.org.
[citation][year=2020]de Souza, J. V. A., e Oliveira, L. E. S., Gumiel, Y. B., Carvalho, D. R., and Moro, C. M. C. (2020). Incorporating multiple feature groups to a siamese neural network for semantic textual similarity task in Portuguese texts. In Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, volume 2583 of CEUR Workshop Proceedings. CEUR-WS.org.
[citation][year=2020]Rodrigues, R., Couto, P., and Rodrigues, I. (2020). IPR: The semantic textual similarity and recognizing textual entailment systems. In Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, volume 2583 of CEUR Workshop Proceedings. CEUR-WS.org.
[citation][year=2020]Rodrigues, R. C., da Silva, J. R., de Castro, P. V. Q., da Silva, N. F. F., and da Silva Soares, A. (2020). Multilingual transformer ensembles for Portuguese natural language tasks. In Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, volume 2583 of CEUR Workshop Proceedings. CEUR-WS.org.
[citation][year=2020]Cabezudo, M. A. S., Inácio, M., Rodrigues, A. C., Casanova, E., and de Sousa, R. F. (2020). NILC at ASSIN 2: Exploring multilingual approaches. In Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, volume 2583 of CEUR Workshop Proceedings. CEUR-WS.org.

[publication]Santos, J. and Alves, A. and Gonçalo Oliveira, H,  , "ASAPPpy: a Python Framework for Portuguese STS", in ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese, 2020

[publication]Gonçalo Oliveira, H,  and Ferreira, J. and Santos, J. and Fialho, P. and Ricardo Rodrigues and Coheur, L. and Alves, A. , "AIA-BDE: A Corpus of FAQs in Portuguese and their Variations", in 12th International Conference on Language Resources and Evaluation, 2020

[publication]Gonçalo Oliveira, H,  and Clemêncio, A. and Alves, A. , "Corpora and Baselines for Humour Recognition in Portuguese", in 12th International Conference on Language Resources and Evaluation, 2020

[publication]Gonçalo Oliveira, H,  and Luís, A. , "Widening the Discussion on "False Friends" in Multilingual Wordnets", in LREC 2020 Globalex Workshop on Linked Lexicography, 2020

2019(10 publications)
[publication]Gonçalo Oliveira, H,  , "On the Impact of the Grammar and the Semantic Network in a Versatile Poetry Generator", in 6th Computational Creativity Symposium at 2019 AISB Convention, 2019

[publication]J. Fernandes and Duarte Raposo and Sinche Soraya and Ngombo Armando and Jorge Sá Silva and Rodrigues, A. and Macedo, L. and Gonçalo Oliveira, H,  and Boavida, F. , "A Human-in-the-Loop Cyber-Physical Approach for Students' Performance Assessment", in SOCIALSENS 2019, the Fourth International Workshop on Social Sensing, Montreal, QC, Canada 15th April, 2019
[citation][year=2019]Bastos, M. V. (2019). Personality detection from the use of smartphone (Doctoral dissertation, Universidade de Coimbra).

[publication]Gonçalo Oliveira, H,  and Filipe, R. and Ricardo Rodrigues and Alves, A. , "Using Lucene for Developing a Question-Answering Agent in Portuguese", in Proceedings of 8th Symposium on Languages, Applications and Technologies (SLATE 2019), 2019

[publication]Ferreira, J. and Gonçalo Oliveira, H,  and Ricardo Rodrigues , "Improving NLTK for Processing Portuguese", in Proceedings of 8th Symposium on Languages, Applications and Technologies (SLATE 2019), 2019
[citation][year=2020]Kaviani, M. and Rahmani, H. (2020). Emhash: Hashtag recommendation using neural network based on BERT embedding. In 2020 6th International Conference on Web Research (ICWR), pages 113–118. IEEE.

[publication]Ferreira, J. and Gonçalo Oliveira, H,  and Ricardo Rodrigues , "NLPyPort: Named Entity Recognition with CRF and Rule-Based Relation Extraction ", in Iberian Languages Evaluation Forum (IberLEF 2019), 2019

[publication]Clemêncio, A. and Alves, A. and Gonçalo Oliveira, H,  , "Recognizing Humor in Portuguese: First Steps", in 19th EPIA Conference on Artificial Intelligence, 2019

[publication]Duarte, L. and Macedo, L. and Gonçalo Oliveira, H,  , "Exploring Emojis for Emotion Recognition in Portuguese Text", in 19th EPIA Conference on Artificial Intelligence, 2019

[publication]Gonçalo Oliveira, H,  and Rademaker, A. , "Fast developing of a Natural Language Interface for a Portuguese WordNet: Leveraging on Sentence Embeddings", in 10th Global WordNet Conference, 2019

[publication]Lopes, F. and Teixeira, C. and Gonçalo Oliveira, H,  , "Named Entity Recognition in Portuguese Neurology Text Using CRF", in Progress in Artificial Intelligence, 2019

[publication]Lopes, F. and Teixeira, C. and Gonçalo Oliveira, H,  , "Contributions to Clinical Named Entity Recognition in Portuguese", in Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018(9 publications)
[publication]Alves, A. and Gonçalo Oliveira, H,  and Ricardo Rodrigues and Rui Encarnação , "ASAPP 2.0: Advancing the State-of-the-Art of Semantic Textual Similarity for Portuguese", in 7th Symposium on Languages, Applications and Technologies (SLATE'18), 2018
[citation][year=2020]Rodrigues, R. C., Rodrigues, J., de Castro, P. V. Q., da Silva, N. F. F., and da Silva Soares, A. (2020). Portuguese language models and word embeddings: Evaluating on semantic similarity tasks. In Computational Processing of the Portuguese Language - 14th International Conference, PROPOR 2020, Evora, Portugal, March 2-4, 2020, Proceedings, volume 12037 of LNCS, pages 239–248. Springer.
[citation][year=2018]Souza, M. and Sanches, L. M. P. (2018). Detecção de Paráfrases na Língua Portuguesa usando Sentence Embeddings. Linguamática, 10(2):31–44.

[publication]Ricardo Rodrigues and Gonçalo Oliveira, H,  , "NLPPort: A Pipeline for Portuguese NLP", in 7th Symposium on Languages, Applications and Technologies (SLATE 2018), 2018

[publication]Gonçalo Oliveira, H,  , "Learning Word Embeddings from Portuguese Lexical-Semantic Knowledge Bases", in 13th International Conference on the Computational Processing of the Portuguese Language (PROPOR 2018), 2018

[publication]Rahul Sharma and Ribeiro, B. and A. M. Pinto and Amilcar Cardoso and Duarte Raposo and Ngombo Armando and Rodrigues, A. and Jorge Sá Silva and Gonçalo Oliveira, H,  and Macedo, L. and Boavida, F. , "Unveiling Markers of Stress Via Smartphone Usage", in Pattern Recognition (RecPad), 2018

[publication]Navarro-Cáceres, M. and Gonçalo Oliveira, H,  and Corchado, J.M. , "Towards an Automated Composer of Popular Spanish Songs: Integrating a Music Generator and a Song Lyrics Generator", in XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, 2018

[publication]Navarro-Cáceres, M. and Gonçalo Oliveira, H,  , "Integrating a ETHNO-MUSIC and a Tra-la-Lyrics for Composing Popular Spanish Songs", in 9th International Conference on Computational Creativity (ICCC 2018), 2018

[publication]Gonçalo Oliveira, H,  and Ricardo Rodrigues , "A Set of Procedures Attempting at the Generation of Verbal Humor in Portuguese", in 9th International Conference on Computational Creativity (ICCC 2018), 2018

[publication]Ferreira, M. and Gonçalo Oliveira, H,  , "Seeking the Ideal Narrative Model for Computer-Generated Narratives", in 3rd Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2018), 2018

[publication]Gonçalo Oliveira, H,  and Ricardo Rodrigues , "Exploring Lexical-Semantic Knowledge in the Generation of Novel Riddles in Portuguese", in 3rd Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2018), 2018

2017(8 publications)
[publication]Gonçalo Oliveira, H,  and Mendes, T. and Boavida, A. , "Towards Finer-grained Interaction with a Poetry Generator", in ProSocrates 2017: Problem-solving, Creativity and Spatial Reasoning in Cognitive Systems, 2017

[publication]Gonçalo Oliveira, H,  and Alves, A. and Ricardo Rodrigues , "Gradually Improving the Computation of Semantic Textual Similarity in Portuguese", in 18th EPIA Conference on Artificial Intelligence, Porto, Portugal, September 5-8, 2017, 2017
[citation][year=2018]Souza, M. and Sanches, L. M. P. (2018). Detecção de Paráfrases na Língua Portuguesa usando Sentence Embeddings. Linguamática, 10(2):31–44.

[publication]Gonçalo Oliveira, H,  , "Unsupervised Approaches for Computing Word Similarity in Portuguese", in 18th EPIA Conference on Artificial Intelligence, Porto, Portugal, September 5-8, 2017, 2017

[publication]Gonçalo Oliveira, H,  , "Comparing and Combining Portuguese Lexical-Semantic Knowledge Bases", in 6th Symposium on Languages, Applications and Technologies (SLATE 2017), 2017

[publication]Gonçalo Oliveira, H,  , "A REST service for Poetry Generation", in 6th Symposium on Languages, Applications and Technologies (SLATE 2017), 2017

[publication]Gonçalo Oliveira, H,  , "O Poeta Artificial 2.0: Increasing Meaningfulness in a Poetry Generation Twitter bot", in Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2017), 2017
[citation][year=2019]Veale, T. (2019). Read me like a book: Lessons in affective, tropical and personalized computational creativity. In Proceedings of 10th International Conference on Computational Creativity, ICCC 2019, pages 25–32, UNC Charlotte, North Carolina, USA. ACC.
[citation][year=2019]van Stegeren, J. and Theune, M. (2019). Churnalist: Fictional headline generation for context-appropriate flavor text. In Proceedings of 10th International Conference on Com- putational Creativity, ICCC 2019, pages 65–73, UNC Charlotte, North Carolina, USA. ACC.
[citation][year=2019]Estrada, D. (2019). Human supremacy as posthuman risk. In Computer Ethics - Philosophical Enquiry (CEPE) Proceedings, number 13.
[citation][year=2018]Chourdakis, E. T. and Reiss, J. D. (2018). From my pen to your ears: au- tomatic production of radio plays from unstructured story text. In Proceedings 15th Sound and Music Computing Conference.
[citation][year=2018]Lamb, C. E. (2018). TwitSong: A current events computer poet and the thorny problem of assessment. PhD thesis, University of Waterloo, Ontario, Canada.

[publication]Gonçalo Oliveira, H,  , "A Survey on Intelligent Poetry Generation: Languages, Features, Techniques, Reutilisation and Evaluation", in 10th International Conference on Natural Language Generation, 2017
[citation][year=2020]de Cruys, T. V. (2020). Artificial intelligence and literature. In Marquis, P., Papini, O., and Prade, H., editors, A Guided Tour of Artificial Intelligence Research, volume III, pages 487–501. Springer, Cham.
[citation][year=2020]Kobis, Nils and Mossink, Luca, (2020), Creative Artificial Intelligence -- Algorithms vs. humans in an incentivized writing competition, Papers, arXiv.org, https://arxiv.org/abs/2005.09980
[citation][year=2020]Garbacea, C. and Mei, Q. (2020). Neural language generation: Formulation, methods, and evaluation. https://arxiv.org/abs/2007.15780.
[citation][year=2020]Lassila, H. (2020). Perspectives to evaluation of computational creativity. Master’s thesis, University of Jyvaskyla.
[citation][year=2020]Gao, R., Zhu, Y., Li, M., Li, S., and Shi, X. (2020). Encoder–Decoder Couplet Generation Model Based on ‘Trapezoidal Context’ Character Vector. The Computer Journal.
[citation][year=2020]Van de Cruys, T. (2020). Automatic poetry generation from prosaic text. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 2471–2480, Online. Association for Computational Linguistics.
[citation][year=2020]Kobis, N. and Mossink, L. D. (2020). Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry. Computers in Human Behavior, page 106553.
[citation][year=2019]Uthus, D., Voitovich, M., Mical, R., and Kurzweil, R. (2019). First steps towards collaborative poetry generation. In Proceedings of NeuroIPS 2019 Workshop on Machine Learning for Creativity and Design, Vancouver, Canada.
[citation][year=2019]Vincent, R. (2019). Multilingual poetry generation. Master’s thesis, Norwegian University of Science and Technology.
[citation][year=2019]Agirrezabal, M., Altuna, B., Gil-Vallejo, L., Goikoetxea, J., and Gonzalez-Dios, I. (2019). Creating vocabulary exercises through NLP. In Proceedings of 4th Conference of The Association Digital Humanities in the Nordic Countries, DHN 2019, Copenhagen.
[citation][year=2019]Oita, M. (2019). Incremental alignment of metaphoric language model for poetry composition. In Intelligent Computing – Proceedings of the 2019 Computing Conference, volume 997 of Advances in Intelligent Systems and Computing, pages 834–845. Springer.
[citation][year=2019]Alnajjar, K. and Hamalainen, M. (2019). A creative dialog generator for fallout 4. In Proceedings of the 14th International Conference on the Foundations of Digital Games, FDG ’19, pages 48:1–48:4, New York, NY, USA. ACM.
[citation][year=2019]Karsdorp, F., Manjavacas, E., and Kestemont, M. (2019). Keepin’it real: Linguistic models of authenticity judgments for artificially generated rap lyrics. PLOS ONE, 14(10):e0224152.
[citation][year=2019]Jhamtani, H., Mehta, S. V., Carbonell, J., and Berg-Kirkpatrick, T. (2019). Learning rhyming constraints using structured adversaries. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 6027–6033, Hong Kong, China. Association for Computational Linguistics.
[citation][year=2019]Hamalainen, M. and Alnajjar, K. (2019). Generating modern poetry automatically in Finnish. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 6001–6006, Hong Kong, China. Association for Computational Linguistics.
[citation][year=2019]Manjavacas, E., Karsdorp, F., and Kestemont, M. (2019). Generation of hip-hop lyrics with hierarchical modeling and conditional templates. In Proceedings of 12th International Conference on Natural Language Generation, INLG 2019. Association for Computational Linguistics.
[citation][year=2019]Hamalainen, M. and Alnajjar, K. (2019). Let’s face it. Finnish poetry generation with aesthetics and framing. In Proceedings of 12th International Conference on Natural Language Generation, INLG 2019. Association for Computational Linguistics.
[citation][year=2019]van de Cruys, T. (2019). La génération automatique de poésie en français. In Conférence sur le Traitement Automatique des Langues Naturelles (TALN-RECITAL), pages 113–126, Toulouse, France.
[citation][year=2018]Gatt, A. and Krahmer, E. (2018). Survey of the state of the art in natural language generation: Core tasks, applications and evaluation. Journal of Artificial Intelligence Research, 61:65–170.
[citation][year=2018]Benhart, J., Duan, T., Hase, P., Zhu, L., and Rudin, C. (2018). Shall I Compare Thee to a Machine-Written Sonnet? An Approach to Algorithmic Sonnet Generation. ArXiv e-prints.
[citation][year=2018]Rodriguez, I., Astigarraga, A., Lazkano, E., Martínez-Otzeta, J. M., and Mendialdua, I. (2018). Robots on stage: A cognitive framework for socially interacting robots. Biologically Inspired Cognitive Architectures, 25:17–25.
[citation][year=2018]Burtenshaw, B. (2018). A brief introduction to natural language generation within computational creativity. In Proceedings of the 3rd Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2018), pages 2–4, Tilburg, the Netherlands. Association for Computational Linguistics.
[citation][year=2018]Ghazvininejad, M. (2018). Neural Creative Language Generation. PhD thesis, Uni- versity of Southern California.
[citation][year=2018]Meyer-Sickendiek, B., Hussein, H., and Baumann, T. (2018). Towards the creation of a poetry translation mapping system. In Proceedings of European Conference on Data Analysis (ECDA), Paderborn, Germany.
[citation][year=2018]Lamb, C. E. (2018). TwitSong: A current events computer poet and the thorny problem of assessment. PhD thesis, University of Waterloo, Ontario, Canada.
[citation][year=2018]Gero, K. I. and Chilton, L. (2018). Challenges in finding metaphorical connections. In Proceedings of the Workshop on Figurative Language Processing, pages 1–6. ACL Press.
[citation][year=2018]Ghazvininejad, M., Choi, Y., and Knight, K. (2018). Neural poetry translation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 67–71. ACL Press.
[citation][year=2018]Loller-Andersen, M. and Gambäck, B. (2018). Deep learning-based po- etry generation given visual input. In Proceedings of 9th International Conference on Computational Creativity, pages 240–247, Salamanca, Spain. ACC.
[citation][year=2018]Repar, A., Martinc, M., Znidarsic, M., and Pollak, S. (2018). Bislon: Bisociative slogan generation based on stylistic literary devices. In Proceedings of 9th International Conference on Compu- tational Creativity, pages 248–255, Salamanca, Spain. ACC.
[citation][year=2017]Koreitem, K. and Xu, Y. T. (2017). Haiku generation using word associations. Technical report, McGill University.

[publication]Gonçalo Oliveira, H,  and Mendes, T. and Boavida, A. , "Co-PoeTryMe: a Co-Creative Interface for the Composition of Poetry", in 10th International Conference on Natural Language Generation, 2017
[citation][year=2020]Nikolov, N. I., Malmi, E., Northcutt, C. G., and Parisi, L. (2020). Conditional rap lyrics generation with denoising autoencoders. https://arxiv.org/abs/2004.03965.
[citation][year=2020]Reciprocal explanations: An explanation technique for human-ai partnership in design ideation. Master’s thesis, School of Science, Aalto University.
[citation][year=2019]Booten, K. (2019). Toward digital Progymnasmata. In Proceedings of 10th International Conference on Computational Creativity, ICCC 2019, pages 1–8, UNC Charlotte, North Carolina, USA. ACC.
[citation][year=2018]Schlegel, U., Cakmak, E., Buchmu ?ller, J., and Keim, D. A. (2018). G-Rap: interactive text synthesis using recurrent neural network suggestions. In Proceedings of European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018.

2016(14 publications)
[publication]Paiva, V.d. and Real, L. and Gonçalo Oliveira, H,  and Rademaker, A. and Freitas, C. and Simões, A. , "An overview of Portuguese Wordnets", in 8th Global WordNet Conference (GWC 2016), Bucharest, Romania, 2016
[citation][year=2020]Branco, A., Grilo, S., Bolrinha, M., Saedi, C., Branco, R., Silva, J., Querido, A., de Carvalho, R., Gaudio, R., Avel ?as, M., and Pinto, C. (2020). The mwn.pt wordnet for portuguese: Projection, validation, cross-lingual alignment and distribution. In Proceedings of The 12th Language Resources and Evaluation Conference, pages 4861–4868, Marseille, France. ELRA.
[citation][year=2017]Madonsela, S. (2017). Word-formation strategies and processes in the creation of synsets for the african wordnet. Southern African Linguistics and Applied Language Studies, 35(2):201–210.

[publication]Ferrugento, A. and Gonçalo Oliveira, H,  and Alves, A. and Rodrigues, F. , "Can Topic Modelling benefit from Word Sense Information?", in 10th International Conference on Language Resources and Evaluation, 2016
[citation][year=2018]Pham, P., Do, P., and Ta, C. D. C. (2018). GOW-LDA: Applying term co-occurrence graph representation in lda topic models improvement. In Proceedings of International Conference on Computational Science and Technology, ICCST 2017, pages 420–431. Springer.

[publication]Gonçalo Oliveira, H,  and Santos, F. , "Discovering Fuzzy Synsets from the Redundancy in Different Lexical-Semantic Resources", in 10th International Conference on Language Resources and Evaluation, 2016

[publication]Vicente, I.S. and Alegria, I. and España-Bonet, C. and Gamallo, P. and Gonçalo Oliveira, H,  and Garcia, E.M. and Toral, A. and Zubiaga, A. and Aranberri, N. , "TweetMT: A Parallel Microblog Corpus", in 10th International Conference on Language Resources and Evaluation, 2016
[citation][year=2020]Mubarak, H., Hassan, S., and Abdelali, A. (2020). Constructing a bilingual corpus of parallel tweets. In Proceedings of the 13th Workshop on Building and Using Comparable Corpora, pages 14–21. ELRA.
[citation][year=2019]Lohar, P., Popovic, M., and Way, A. (2019). Building English-to-Serbian machine translation system for IMDb movie reviews. In Proceeding of ACL 2019 7th Workshop on Balto-Slavic Natural Language Processing, Florence, Italy.
[citation][year=2018]Sluyter-Gathje, H., Lohar, P., Afli, H., and Way, A. (2018). FootWeets: A bilingual parallel corpus of world cup tweets. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. ELRA.
[citation][year=2018]Milajevs, D. (2018). Language use in a multilingual tweet corpus. In proceedings of the 8th International Conference Human Language Technologies – The Baltic Perspective, volume 307 of Frontiers in Artificial Intelligence and Applications, pages 88–95. IOS Press.

[publication]Alexandre Pinto and Gonçalo Oliveira, H,  and Alves, A. , "Comparing the Performance of Different NLP Toolkits in Formal and Social Media Text", in 5th Symposium on Languages, Applications and Technologies (SLATE'16), 2016
[citation][year=2020]Jalal, M., Mays, K. K., Guo, L., and Betke, M. (2020). Performance comparison of crowdworkers and NLP tools onnamed-entity recognition and sentiment analysis of political tweets.
[citation][year=2020]Ilic, A., Licina, A., and Savic, D. (2020). Chatbot development using java tools and libraries. In 2020 24th International Conference on Information Technology (IT), pages 1–4. IEEE.
[citation][year=2020]Moore, J., Cao, M., and Zhao, R. (2020). Detecting and correcting real-word errors in e-commerce search. In SDM Conference 2020 workshop on Data Science for Retail and E-Commerce Workshop.
[citation][year=2020]James, P. E., Kit, M. H., Vaithilingam, C. A., and Wee Chiat, A. T. (2020). An integrated process based natural language processing system. Journal of Computational and Theoretical Nanoscience, 17(4):1842–1846.
[citation][year=2020]Camilleri, S., Agius, M. R., and Azzopardi, J. (2020). Analysis of online news coverage on earthquakes through text mining. Frontiers in Earth Science, 8:141.
[citation][year=2020]Cheng, X., Kong, X., Liao, L., and Li, B. (2020). A combined method for usage of nlp libraries towards analyzing software documents. In International Conference on Advanced Information Systems Engineering, pages 515–529. Springer.
[citation][year=2020]Borrelli, D., Gongora Svartzman, G., and Lipizzi, C. (2020). Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets. Plos one, 15(6):e0234214.
[citation][year=2020]Camilleri, S. (2020). Deriving business value from online data sources using natural language processing techniques. In Natural Language Processing for Global and Local Business, pages 17–39. IGI Global.
[citation][year=2020]Zemnickis, J., Niedrite, L., and Kozmina, N. (2020). A little bird told me: Discovering KPIs from Twitter data. In International Baltic Conference on Databases and Information Systems, volume 1243 of CCIS, pages 161–175. Springer.
[citation][year=2020]Dolatabadi, M., Fadardi, J. S., Kahani, M., and Karshki, H. (2020). Cognitive sequential dependencies in the wild: Sentiment analysis approach. https://psyarxiv.com/4mw8c/.
[citation][year=2020]Beccaluva, E., Chiappetta, A., Mangut, J. C., Molteni, L., Mores, M., Occhiuto, D., and Garzotto, F. (2020). Deception of the “Elephant in the Room”: Invisible auditing multi-party conversations to support caregivers in cognitive behavioral group therapies. In Human-Computer Interaction. Human Values and Quality of Life. HCII 2020, volume 12183 of LNCS, pages 3–32. Springer.
[citation][year=2019]Evans, L., Crockett, K., Owda, M., and Vilas, A. F. (2019). A Methodology for the Resolution of Cashtag Collisions on Twitter – a Natural Language Processing & Data Fusion Approach. Expert Systems with Applications, page (online since March 2019).
[citation][year=2019]Abrami, G., Mehler, A., Lucking, A., Rieb, E., and Helfrich, P. (2019). Textannotator: A flexible framework for semantic annotations. In Proceedings of 15th Joint ACL - ISO Workshop on Interoperable Semantic Annotation, Gothenburg, Sweden. ACL Press.
[citation][year=2019]Veliz, C. M., De Clercq, O., & Hoste, V. (2019, November). Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content. In Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019) (pp. 275-285).
[citation][year=2019]Zimmer, M., Al-Yacoub, A., Ferreira, P., and Lohse, N. (2019). Understanding human decision-making during production ramp-up using Natural Language Processing. In Proceedings of 17th IEEE International Conference on Industrial Informatics (INDIN), Helsinki-Espoo, Finland.
[citation][year=2019]Martinez-Rodriguez, J. L., Lopez-Arevalo, I., Rios-Alvarado, A. B., Hernandez, J., and Aldana-Bobadilla, E. (2019). Extraction of RDF statements from text. In Iberoamerican Knowledge Graphs and Semantic Web Conference, volume 1029 of CCIS, pages 87–101. Springer.
[citation][year=2019]Vychegzhanin, S. and Kotelnikov, E. (2019). Comparison of named entity recognition tools applied to news articles. In 2019 Ivannikov Ispras Open Conference (ISPRAS), pages 72–77.
[citation][year=2019]Zahidi, Y., El Younoussi, Y., and Azroumahli, C. (2019). Comparative study of the most useful Arabic-supporting natural language processing and deep learning libraries. In Proceedings of 5th International Conference on Optimization and Applications (ICOA). IEEE.
[citation][year=2019]Canosa, X., Gamallo, P., Varela, X., Taboada, J. A., Taboada, J. A., and Garcia, M. (2019). Uma utilidade para o reconhecimento de topónimos em documentos medievais. Linguamática, 11(1).
[citation][year=2019]Camilleri, S., Azzopardi, J., and Agius, M. R. (2019). Investigating the relationship between earthquakes and online news. In Proceedings of 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE). IEEE.
[citation][year=2019]Weiying, K., Pham, D. N., Eftekharypour, Y., and Pheng, A. J. (2019). Benchmarking NLP toolkits for enterprise application. In Proceedings of 16th Pacific Rim International Conference on Artificial Intelligence, Part III, volume 11672 of LNCS, pages 289–294, Cuvu, Yanuca Island, Fiji. Springer.
[citation][year=2019]Lamberti, F., Gatteschi, V., Sanna, A., and Cannavò, A. (published online January 2019). A multimodal interface for virtual character animation based on live performance and natural language processing. International Journal of Human–Computer Interaction, pages 1–17.
[citation][year=2019]Yogish, D., Manjunath, T. N., and Hegadi, R. S. (2019). Review on natural language processing trends and techniques using NLTK. In Proceedings of Second International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2018, Solapur, India, December 21–22, 2018, Revised Selected Papers, Part III, volume 1037 of CCIS, pages 589–606. Springer.
[citation][year=2019]Hausl, M., Forster, J., Auch, M., Karrasch, M., and Mandl, P. (2019). An evaluation concept for named entity recognition and keyword apis in social media analysis. In Proceedings of the Second International Workshop on Entrepreneurship in Electronic and Mobile Business, IWEMB 2018, pages 79–96. PubliQation Academic Publishing.
[citation][year=2019]Sánchez, L. E. (2019). Optimización de modelos de características con aplicaciones para la adaptación de composiciones de servicios. PhD thesis, Universidad Nacional del Centro de la Provincia De Buenos Aires.
[citation][year=2019]Gao, S., Qiu, J. X., Alawad, M., Hinkle, J. D., Schaefferkoetter, N., Yoon, H.-J., Christian, B., Fearn, P. A., Penberthy, L., Wu, X.-C., Coyle, L., Tourassi, G., and Ramanathan, A. (2019). Classifying cancer pathology reports with hierarchical self-attention networks. Artificial Intelligence in Medicine, 101.
[citation][year=2019]Schmitt, X., Kubler, S., Robert, J., Papadakis, M., and LeTraon, Y. (2019). A repli- cable comparison study of ner software: Stanfordnlp, nltk, opennlp, spacy, gate. In Proceedings of Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE.
[citation][year=2019]Schwenkler, G. and Zheng, H. (2019). The network of firms implied by the news. Technical Report 3320859, Boston University Questrom School of Business.
[citation][year=2019]Silva, N., Ribeiro, D., and Ferreira, L. (2019). Information extraction from unstructured recipe data. In Proceedings of the 2019 5th International Conference on Computer and Technology Applications, ICCTA 2019, pages 165–168, New York, NY, USA. ACM.
[citation][year=2019]O’Leary, D. E. (2019). What phishing e-mails reveal: An exploratory analysis of phishing attempts using text analyzes. Journal of Information Systems, 33(3):285–307.
[citation][year=2018]Silva, N. G. N. (2018). Information extraction from unstructured recipe data. Master’s thesis, Universidade do Porto.
[citation][year=2018]Nazaruka, E., & Osis, J. (2018, March). Determination of Natural Language Processing Tasks and Tools for Topological Functioning Modelling. In ENASE (pp. 501-512).
[citation][year=2018]Fragkou, P. (2018). Combining information extraction and text segmentation methods in greek texts. Artificial Intelligence Research, 7(1).
[citation][year=2018]Neumer, T. (2018). Efficient natural language processing for automated recruiting on the example of a software engineering talent-pool. Master’s thesis, Technische Universitat Munchen.
[citation][year=2018]Gudivada, V. N., & Arbabifard, K. (2018). Open-Source Libraries, Application Frameworks, and Workflow Systems for NLP. Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, 38, 31.
[citation][year=2018]Suryawati, E., Munandar, D., Riswantini, D., Abka, A. F., and Arisal, A. (2018). Pos-tagging for informal language (study in indonesian tweets). Journal of Physics: Conference Series, 971.
[citation][year=2018]Rudniy, A. (2018). De-identification of laboratory reports in stem. The Journal of Writing Analytics, 2:176–202.
[citation][year=2017]Baumer, F. S. (2017). Indikatorbasierte Erkennung und Kompensation von ungenauen und unvollstandig beschriebenen Softwareanforderungen. PhD thesis, Universitat Paderborn.
[citation][year=2017]da Gama Batista, F. D. (2017). Using named entity recognition for relevance detection in social network messages. Master’s thesis, Universidade do Porto.
[citation][year=2017]Fragkou, P. (2017). Applying named entity recognition and co-reference resolution for seg- menting english texts. Progress in Artificial Intelligence. (online on May 2017)
[citation][year=2017]Batista,F. and Figueira, A. (2017).The complementary nature of different NLP toolkits for named entity recognition in social media. In Progress in Artificial Intelligence - Proceedings of 18th Portuguese Conference on Artificial Intelligence, Porto, Portugal, September 5-8, 2017, volume 10423 of LNCS, pages 803–814. Springer.

[publication]Gonçalo Oliveira, H,  and Costa, D. and A. M. Pinto , "Automatic Generation of Internet Memes from Portuguese News Headlines", in 12th International Conference on Computational Processing of the Portuguese Language (PROPOR 2016), 2016

[publication]Gonçalo Oliveira, H,  , "CONTO.PT: Groundwork for the Automatic Creation of a Fuzzy Portuguese Wordnet", in 12th International Conference on Computational Processing of the Portuguese Language (PROPOR 2016), 2016
[citation][year=2018]Evaldo Leal, S., Sanches Duran, M., and Maria Aluísio, S. (2018). A nontrivial sentence corpus for the task of sentence readability assessment in Portuguese. In Proceedings of the 27th International Conference on Computational Linguistics, pages 401–413. ACL Press.
[citation][year=2018]Rocha, G. and Lopes Cardoso, H. (2018). Recognizing textual entailment: Challenges in the Portuguese language. Information, 9(4).
[citation][year=2017]Rocha, G. and Cardoso, H. L. (2017). Recognizing textual entailment and paraphrases in Portuguese. In Progress in Artificial Intelligence - Proceedings of 18th Portuguese Conference on Artificial Intelligence, Porto, Portugal, September 5-8, 2017, volume 10423 of LNCS, pages 868–879. Springer.
[citation][year=2017]Rocha, G. and Cardoso, H. L. (2017). Towards a mention-pair model for coreference resolution in Portuguese. In Progress in Artificial Intelligence - Proceedings of 18th Portuguese Conference on Artificial Intelligence, Porto, Portugal, September 5-8, 2017, LNCS, pages 855–867. Springer.
[citation][year=2017]Júnior, A. F. P. (2017). Uma abordagem baseada em similaridade semântica para promover baixo acoplamento de esquema de dados entre assinantes e publicadores em soluções PUB/SUB. Master’s thesis, Universidade Federal do Estado do Rio de Janeiro.
[citation][year=2017]Rocha, G. and Cardoso, H. L. (2017). Towards a relation-based argument extraction model for argumentation mining. In Proceedings of Statistical Language and Speech Processing. SLSP 2017. Volume 10583 of LNCS, pages 94–105. Springer.

[publication]Gonçalo Oliveira, H,  and Alves, A. , "Poetry from Concept Maps — Yet Another Adaptation of PoeTryMe’s Flexible Architecture", in 7th International Conference on Computational Creativity, 2016
[citation][year=2019]Cook, M., Colton, S., Pease, A., and Llano, M. T. (2019). Framing in computational creativity – a survey and taxonomy. In Proceedings of 10th International Conference on Computational Creativity, ICCC 2019, pages 156–163, UNC Charlotte, North Carolina, USA. ACC.
[citation][year=2018]Lamb, C. E. (2018). TwitSong: A current events computer poet and the thorny problem of assessment. PhD thesis, University of Waterloo, Ontario, Canada.

[publication]Gonçalo Oliveira, H,  and Costa, D. and A. M. Pinto , "One does not simply produce funny memes! — Explorations on the Automatic Generation of Internet humor ", in 7th International Conference on Computational Creativity, 2016
[citation][year=2020]Swamy, S. D., Laddha, S., Abdussalam, B., Datta, D., and Jamatia, A. (2020). NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor. In Proceedings of 14th International Workshop on Semantic Evaluation, SemEval 2020. ACL.
[citation][year=2020]Stockl, H., Caple, H., and Pflaeging, J. (2020). Shifts towards image-centricity in contemporary multimodal practices. In Shifts towards Image-centricity in Contemporary Multimodal Practices: An Introduction, chapter 1. Routledge.
[citation][year=2020]Sadasivam, A. (2020). memebot: Automatic image meme generation for online social interaction. Master’s thesis, Arizona State University.
[citation][year=2020]Sharma, C., Bhageria, D., Scott, W., PYKL, S., Das, A., Chakraborty, T., Pulabaigari, V., and Gamback, B. (2020). Semeval-2020 task 8: Memotion analysis–the visuo-lingual metaphor! In Proceedings of the 14th International Workshop on Semantic Evaluation, SemEval 2020. ACL.
[citation][year=2020]Guo, X., Ma, J., and Zubiaga, A. (2020). NUAA-QMUL at SemEval 2020 task 8: Utilizing BERT and DenseNet for internet meme emotion analysis. In Proceedings of the 14th International Workshop on Semantic Evaluation. ACL.
[citation][year=2019]Zappavigna, M. (2019). “and then he said. . . no one has more respect for women than i do”: Intermodal relations and intersubjectivity in image macros. In Image-Centric Practices in the Contemporary Media Sphere, London, UK. Routledge.
[citation][year=2019]Shimomoto, E. K., Souza, L., Gatto, B. B., and Fukui, K. (2019). News2meme: An automatic content generator from news based on word subspaces from text and image. In Proceedings of International Conference on Machine Vision Applications 2019, MVA 2019, Tokyo, Japan.
[citation][year=2018]Zannettou, S., Caulfield, T., Blackburn, J., Cristofaro, E. D., Sirivianos, M., Stringhini, G., and Suarez-Tangil, G. (2018). On the origins of memes by means of fringe web communities. CoRR, abs/1805.12512.
[citation][year=2017]Nijholt, A., Niculescu, A. I., Valitutti, A., and Banchs, R. E. (2017). Humor in human-computer interaction: A short survey. In Proceedings of Workshop on Designing Humour in Human- Computer Interaction, HUMIC 2017, Mumbai, India.
[citation][year=2017]Putasinski, M., Okumura, N., and Jepka, R. (2017). A review of the phenomenon and studies on emoticons : How play on symbols became science. Journal of the Japanese Society for Artificial Intelligence, 32(3):333–341.

[publication]Rui Encarnação and Gonçalo Oliveira, H,  , "OHDOCLUS – Online and Hierarchical Document Clustering", in Proceedings of the Eighth European Starting AI Researcher Symposium (STAIRS 2016), 2016

[publication]Albuquerque, F.I.d. and Gonçalo Oliveira, H,  , "Dicionário Criativo: The Construction of a Fuzzy Onomasiological Thesaurus from Multiple Sources", in 3rd Workshop on Logics and Ontologies and 1st Workshop on Lexical Semantics for Lesser-Resourced Languages, 2016

[publication]Znidarsic, M. and Amilcar Cardoso and Gervás, P. and Martins, P. and Hervás, R. and Alves, A. and Gonçalo Oliveira, H,  and Xiao, P. and Linkola, S. and Toivonen, H. and Kranjc, J. and Lavrac, N. , "Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case", in Proceedings of the Seventh International Conference on Computational Creativity (ICCC 2016), 2016
[citation][year=2019]Confalonieri, R. and Kutz, O. (online since July 2019). Blending under deconstruction: The roles of logic, ontology, and cognition in computational concept invention. Annals of Mathematics and Artificial Intelligence.
[citation][year=2018]McGregor, S. (2018). Geometric Methods for Context Sensitive Distributional Semantics (Doctoral dissertation, Queen Mary University of London).
[citation][year=2018]Eppe, M., Maclean, E., Confalonieri, R., Kutz, O., Schorlemmer, M., Plaza, E., & Kühnberger, K. U. (2018). A computational framework for conceptual blending. Artificial Intelligence, 256, 105-129.
[citation][year=2017]Jordanous, A. (2017). Has computational creativity successfully made it “Beyond the Fence” in musical theatre?. Connection Science, 29(4), 350-386.
[citation][year=2017]Eppe, M., Maclean, E., Confalonieri, R., Kutz, O., Schorlemmer, M., Plaza, E., and Khnberger, K.-U. (2018). A computational framework for conceptual blending. Artificial Intelligence, page (available online since 2 December 2017).
[citation][year=2017]McGregor, S. (2017). Geometric Methods for Context Sensitive Distributional Semantics. PhD thesis, Queen Mary University of London.
[citation][year=2016]Sevilla, A. F., Fernández-Isabel, A., & Díaz, A. (2016, September). Grafeno: Semantic graph extraction and operation. In Digital Information Management (ICDIM), 2016 Eleventh International Conference on (pp. 133-138). IEEE.
[citation][year=2016]Charnley, John, et al. "The FloWr Online Platform: Automated Programming and Computational Creativity as a Service." Proceedings of the Seventh International Conference on Computational Creativity, ICCC. 2016.

[publication]Gonçalo Oliveira, H,  , "Automatic generation of poetry inspired by Twitter trends", in 7th International Joint Conference, IC3K 2015, 2016
[citation][year=2017]Astigarraga, A., María Martínez-Otzeta, J., Rodriguez Rodriguez, I., Sierra, B., and Lazkano, E. (2017). Poet’s little helper: A methodology for computer-based poetry generation. a case study for the basque language. In Proceedings of the Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2017), pages 2–10, Santiago de Compostela, Spain. Association for Computational Linguistics.

[publication]Malheiro, R., and Gonçalo Oliveira, H,  and Paulo Gomes and Paiva, R.P. , "Keyword-Based Approach for Lyrics Emotion Variation Detection", in 8th International Conference on Knowledge Discovery and Information Retrieval – KDIR’2016, November 2016, 2016
[citation][year=2019]Parisi, L., Francia, S., Olivastri, S., and Tavella, M. S. (2019). Exploiting synchronized lyrics and vocal features for music emotion detection. ArXiv e-prints.
[citation][year=2017]Vale, P. M. F. (2017). The role of artist and genre on music emotion recognition. Master’s thesis, Universidade Nova de Lisboa.

2015(5 publications)
[publication]Alves, A. and Simões, D. and Gonçalo Oliveira, H,  and Ferrugento, A. , "ASAP-II: From the Alignment of Phrases to Textual Similarity", in 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015

[publication]Ferrugento, A. and Alves, A. and Gonçalo Oliveira, H,  and Rodrigues, F. , "Towards the Improvement of a Topic Model with Semantic Knowledge", in 14th Portuguese Conference on Artificial Intelligence (EPIA 2015), 2015
[citation][year=2017]Mireles, V., & Revenko, A. (2017). Evolution of Semantically Identified Topics. In HybridSemStats@ ISWC.

[publication]Costa, D. and Gonçalo Oliveira, H,  and A. M. Pinto , ""In reality there are as many religions as there are papers” — First Steps Towards the Generation of Internet Memes", in 6th International Conference on Computational Creativity, 2015
[citation][year=2020]Guo, X., Ma, J., and Zubiaga, A. (2020). NUAA-QMUL at SemEval 2020 task 8: Utilizing bert and densenet for internet meme emotion analysis. In Proceedings of the 14th International Workshop on Semantic Evaluation. ACL.
[citation][year=2019]Shimomoto, E. K., Souza, L., Gatto, B. B., and Fukui, K. (2019). News2meme: An automatic content generator from news based on word subspaces from text and image. In Proceedings of International Conference on Machine Vision Applications 2019, MVA 2019, Tokyo, Japan.
[citation][year=2017]Loughran, R. and O’Neill, M. (2017). Application domains considered in computational creativity. In Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017, Atlanta, Georgia, USA.

[publication]Aranberri, N. and España-Bonet, C. and Gamallo, P. and Gonçalo Oliveira, H,  and Garcia, E.M. and Vicente, I.S. and Toral, A. and Zubiaga, A. , "Overview of TweetMT: A Shared Task on Machine Translation of Tweets at SEPLN 2015", in Tweet Translation Workshop at SEPLN 2015 (TweetMT), 2015

[publication]Gonçalo Oliveira, H,  and Marques, J. and Cortesão, L. , "Exploiting Twitter for the Semantic Enrichment of Telecommunication Alarms", in 4th International Symposium in Languages Applications and Technologies (SLATE 2015), 2015

2014(10 publications)
[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Onto.PT: recent developments of a large public domain portuguese wordnet", in 7th Global WordNet Conference (GWC'14), 2014
[citation][year=2018]Orav, H., Zupping, S., and Vare, K. (2018). Fuzzy lexical-semantic relations in Estonian wordnet. The Yearbook of the Estonian Mother Tongue Society, 63(1):171–194.
[citation][year=2016]Batista, D. S. (2016). Large-Scale Semantic Relationship Extraction for Information Discovery. PhD thesis, Universidade de Lisboa.

[publication]Gonçalo Oliveira, H,  and Coelho, I. and Paulo Gomes , "Exploiting Portuguese Lexical Knowledge Bases for Answering Open Domain Cloze Questions Automatically", in 9th International Conference on Language Resources and Evaluation (LREC'14), 2014

[publication]Gonçalo Oliveira, H,  and Hervás, R. and Díaz, A. and Gervás, P. , "Adapting a Generic Platform for Poetry Generation to Produce Spanish Poems", in 5th International Conference on Computational Creativity (ICCC 2014) Ljubljana, Slovenia, 2014., 2014
[citation][year=2019]Son, S.-H., Lee, H.-Y., Nam, G.-H., and Kang, S.-S. (2019). Korean song-lyrics generation by deep learning. In Proceedings of the 4th International Conference on Intelligent Information Technology, ICIIT ’19, pages 96–100. ACM.
[citation][year=2019]Zhang, R., Liu, X., Chen, X., Hu, Z., Xu, Z., and Mao, Y. (2019). Generating Chinese Ci with designated metrical structure. In Proceedings of 33rd AAAI Conference on Artificial Intelligence, pages 7459–7467. AAAI Press.
[citation][year=2017]Tikhonov, A. and Yamshchikov, I. P. (2017). Music generation with variational recurrent autoencoder supported by history. In Proceedings of the 13th International Sympo- sium on Computer Music Multidisciplinary Research, Matosinhos, Portugal, Sept. 25-28, 2017, CMMR 2017, pages 527–537.
[citation][year=2017]Agirrezabal, M., Alegria, I., and Hulden, M. (2017). A comparison of feature-based and neural scansion of poetry. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 18–23, Varna, Bulgaria. INCOMA Ltd.
[citation][year=2017]Astigarraga, A., María Martínez-Otzeta, J., Rodriguez Rodriguez, I., Sierra, B., and Lazkano, E. (2017). Poet’s little helper: A methodology for computer-based poetry generation. a case study for the basque language. In Proceedings of the Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2017), pages 2–10, Santiago de Compostela, Spain. Association for Computational Linguistics.
[citation][year=2016]Wang, Z., He, W., Wu, H., Wu, H., Li, W., Wang, H., and Chen, E. (2016). Chinese poetry generation with planning based neural network. CoRR, abs/1610.09889.
[citation][year=2015]Hayes, M. D. and Wiggins, G. A. (2015). Adding semantics to statistical generation for poetic creativity. In Late-breaking abstract of the 6th International Conference on Computational Creativity, ICCC 2015.
[citation][year=2015]Potash, P., Romanov, A., and Rumshisky, A. (2015). Ghostwriter: Using an lstm for automatic rap lyric generation. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, pages 1919–1924, Lisbon, Portugal. ACL Press.
[citation][year=2015]Toivonen, H. and Gross, O. (2015). Data mining and machine learning in computational creativity. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery archive. Volume 5 Issue 6, November 2015. Pages 265-275.
[citation][year=2015]Scirea, M., Barros, G. A. B., Shaker, N., and Togelius, J. (2015). Smug: Scientific music generator. In Proceedings of the 6th International Conference on Computational Creativity, ICCC 2015, pages 204–211, Park City, UT, USA.

[publication]Gonçalo Oliveira, H,  and Paulo-Santos, A. and Paulo Gomes , "Assigning Polarity Automatically to the Synsets of a Wordnet-like Resource", in 3rd Symposium on Languages, Applications and Technologies (SLATE 2014), 2014
[citation][year=2019]Freitas, L. A. D. and Vieira, R. (2019). Ontology-based feature-level sentiment analysis in portuguese reviews. International Journal of Business Information Systems, 32(1).
[citation][year=2016]Avanço, L. V., Brum, H. B., and Nunes, M. G. V. (2016). Improving opinion classifiers by combining different methods and resources. In XIII Encontro Nacional de Inteligncia Artificial e Computacional, pages 25–36.
[citation][year=2016]Vieira, R., do Amaral, D., Collovini, S., Fonseca, E., Freitas, A., Freitas, L., Granada, R., Hilgert, L., Lopes, L., Schmidt, D., Severo, B., Souza, M., and Trojahn, C. (2016). Language resources for information extraction and semantic computing - NLP at PUCRS. In Proceedings Corpora and Tools for Processing Corpora at PROPOR 2016, pages 17–25.
[citation][year=2015]Freitas, L. and Vieira, R. (2015). Exploring resources for sentiment analysis in portuguese language. In Proceedings of 2015 Brazilian Conference on Intelligent Systems, BRACIS, pages 152–156, Natal, RN, Brasil.
[citation][year=2015]Paula Carvalho e Mário J. Silva. Sentilex-PT: principais características e potencialidades. In Simões, A., Barreiro, A., Santos, D., Sousa-Silva, R., and Tagnin, S. E. O., editors, Linguística, Informática e Tradução: Mundos que se Cruzam, volume 7(1) of OSLa: Oslo Studies in Language, pages 425–438. University of Oslo.
[citation][year=2015]Larissa A. de Freitas (2015). Feature-Level Sentiment Analysis Applied to Brazilian Portuguese Reviews. PhD thesis, Pontifícia Universidade Católica do Rio Grande do Sul.

[publication]Ricardo Rodrigues and Gonçalo Oliveira, H,  and Paulo Gomes , "LemPORT: a High-Accuracy Cross-Platform Lemmatizer for Portuguese", in 3rd Symposium on Languages, Applications and Technologies (SLATE’14), 2014
[citation][year=2019]Cançado, M., Amaral, L., Amorin, E., Veloso, A., and Mello, H. (2019). Subjetividade em correções de redações: detecção automática através de léxico de operadores de viés linguístico. Even3 Publicações. preprint.
[citation][year=2019]Sergeevich, S. D. (2019). Information technology for processing of natural-language texts based on the integrational approach. Master’s thesis, Igor Sikorsky Kyiv Polytechnic Institute.
[citation][year=2018]Sousa, L., de Mello, R., Cedrim, D., Garcia, A., Missier, P., Ucha, A., Oliveira, A., and Romanovsky, A. (2018). Vazadengue: An information system for preventing and combating mosquito- borne diseases with social networks. Information Systems, 75:26–42.
[citation][year=2018]Hachaj, T. and Ogiela, M. R. (2018). What can be learned from bigrams analysis of messages in social network? In Proceedings of 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).
[citation][year=2018]de Barcelos Silva, A. (2018). O uso de recursos linguísticos para mensurar a semelhança semântica entre frases curtas através de uma abordagem híbrida. Master’s thesis, Universidade do Vale do Rio dos Sinos (UNISINOS).
[citation][year=2018]Galhardi, L. B., de Barbosa, C. R. S. C., Neto, J. C., and Brancher, J. D. (2018). Analisador léxico-morfológico de redações de estudantes no estilo do ENEM. Nuevas Ideas en Informática Educativa, 14:509–513.
[citation][year=2018]Gamallo, P. and Pereira-Fariña, M. (2018). Explorando métodos non-supervisados para calcular a similitude semántica textual. Linguamática, 10(2):63–68.
[citation][year=2017]Devezas, J. and Nunes, S. (2017). Information Extraction for Event Ranking. In 6th Symposium on Languages, Applications and Technologies (SLATE 2017), volume 56 of OASIcs, pages 18:1–18:14, Dagstuhl, Germany. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik.
[citation][year=2016]Wijaya, D. T. and Mitchell, T. (2016). Mapping verbs in different languages to knowledge base relations using web text as interlingua. In Proceedings of 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, CA, USA.
[citation][year=2016]Wijaya, D. T. (2016). VerbKB: A Knowledge Base of Verbs for Natural Language Understanding. PhD thesis, Carnegie Mellon University.
[citation][year=2016]de Almeida, H. M. C. (2016). Suffix identification in portuguese using transducers. Master’s thesis, Instituto Superior Técnico.
[citation][year=2016]Hachaj, T. and Ogiela, M. R. (2016). Clusters of trends detection in microblogging: Simple natural language processing vs hashtags–which is more informative? In Proceedings of 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), pages 119–121. IEEE.

[publication]Gonçalo Oliveira, H,  and Amilcar Cardoso , "Using a generic poetry generation system to produce song lyrics with sentiment", in Proceedings of 3rd Workshop on Computational Creativity, Concept Invention, and General Intelligence (C3GI@ECAI 2014), 2014

[publication]Leal, J. and Pinto, S. and Bento, A. and Gonçalo Oliveira, H,  and Paulo Gomes , "CISUC-KIS: Tackling Message Polarity Classification with a Large and Diverse set of Features", in 7th International Workshop on Semantic Evaluation (SemEval 2014), 2014
[citation][year=2018]Junior, A. B. (2018). Aplicação de programação genética na análise de sentimentos. Master’s thesis, Universidade Federal de Goiás.
[citation][year=2016]Singh, T. and Kumari, M. (2016). Role of text pre-processing in twitter sentiment analysis. Procedia Computer Science, 89:549–554.
[citation][year=2015]Faret, J. and Reitan, J. (2015). Twitter sentiment analysis – exploring the effects of linguistic negation. Master’s thesis, Norwegian University of Science and Technology (NTU), Trondheim, Norway.

[publication]Gonçalo Oliveira, H,  , "Beyond the automatic construction of a lexical ontology for Portuguese: resources developed in the scope of Onto.PT", in Workshop on Tools and Resources for Automatically Processing Portuguese and Spanish (TorPorEsp), São Carlos, SP, Brazil, 2014
[citation][year=2018]Vargas, F. A. and Pardo, T. A. S. (2018). Aspect clustering methods for sentiment analysis. In Computational Processing of the Portuguese Language - 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings, volume 11122 of LNCS, pages 365–374. Springer.
[citation][year=2018]Vargas, F. A. (2018). Agrupamento semântico de aspectos para mineração de opinião. Master’s thesis, Universidade de São Paulo.

[publication]Gonçalo Oliveira, H,  , "On the utility of Portuguese term-based lexical- semantic networks", in Computational Processing of the Portuguese Language - 11th International Conference (PROPOR 2014), São Carlos, SP, Brazil, 2014

[publication]Gonçalo Oliveira, H,  , "The creation of Onto.PT: a wordnet-like lexical ontology for Portuguese", in Computational Processing of the Portuguese Language - 11th International Conference (PROPOR 2014), São Carlos, SP, Brazil, 2014
[citation][year=2018]Granada, R., Vieira, R., Trojahn, C., and Aussenac-Gilles, N. (2018). Evaluating the complementarity of taxonomic relation extraction methods across different languages. ArXiv e-prints.
[citation][year=2017]Bourguet, J.-R. and Costa, M. Z. (2017). Scoring judicial syllabi in portuguese. In Proceedings of the 30th international conference on Legal Knowledge and Information Systems (JURIX 2017), volume 302 of Frontiers in Artificial Intelligence and Applications, pages 119–124. IOS Press.
[citation][year=2015]Granada, R. L. (2015). Evaluation of methods for taxonomic relation extraction from text. PhD thesis, Pontifical Catholic University of Rio Grande do Sul.
[citation][year=2015]Brett Drury and Alneu de Andrade Lopes. The identification of indicators of sentiment using a multi-view self-training algorithm. In Simões, A., Barreiro, A., Santos, D., Sousa-Silva, R., and Tagnin, S. E. O., editors, Linguística, Informática e Tradução: Mundos que se Cruzam, volume 7(1) of OSLa: Oslo Studies in Language, pages 379–395. University of Oslo.

2013(1 publication)
[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "On the automatic enrichment of a Portuguese wordnet with dictionary definitions", in 16th Portuguese Conference on Artificial Intelligence (EPIA 2013), 2013
[citation][year=2016]Zhang, Y., Li, B., Dai, X., Huang, S., and Chen, J. (2017). PQAC-WN: constructing a wordnet for Pre-Qin ancient Chinese. Language Resources and Evaluation, 51(2):525–545.

2012(8 publications)
[publication]Gonçalo Oliveira, H,  and Costa, Hernani and Santos, D. , "Folheador: browsing through Portuguese semantic relations", in 13th Conference of the European Chapter of the Association for Computational Linguistics - Demos Session (EACL 2012), Avignon, France, 2012
[citation][year=2012]Leonardo Zilio, Kassius Prestes, Rodrigo Wilkens, Aline Villavicencio. Geração semi-automática de uma ontologia geral de língua comum. XI Encontro de Linguística de Corpus (ELC), São Carlos, SP, Brasil, 2012.

[publication]Paulo-Santos, A. and Gonçalo Oliveira, H,  and Ramos, C. and Marques, N.C. , "The role of language registers in polarity propagation", in Computational Processing of the Portuguese Language - 10th International Conference (PROPOR 2012), Coimbra, Portugal, 2012
[citation][year=2014]Letras, J. M. F. (2014). Sensor de reputação online: técnicas de aprendizagem automática para a deteção e classificação de opiniões na Web. Master’s thesis, Universidade de Évora.
[citation][year=2013]R Giménez-Moreno, H Skorczynska. Corpus Analysis and Register Variation: A Field in Need of an Update. Proceedings of V International Conference on Corpus Linguistics, Alicante. 2013.
[citation][year=2013]Pedro Balage Filho, Thiago Pardo, Sandra Aluísio. An Evaluation of the Brazilian Portuguese LIWC Dictionary for Sentiment Analysis. In the Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL. October 21-23, Fortaleza/Brazil. 2013.

[publication]Paulo-Santos, A. and Gonçalo Oliveira, H,  and Ramos, C. and Marques, N.C. , "A Bootstrapping Algorithm for Learning the Polarity of Words", in Computational Processing of the Portuguese Language - 10th International Conference (PROPOR 2012), Coimbra, Portugal, 2012
[citation][year=2019]Tirronen, J. (2019). Wording, semantic fields and othering discourses in news media: A study of the accusation process of christine ford against judge brett kavanaugh in cnn and fox news. Master’s thesis, Arcada University of Applied Sciences, Helsinki, Finland.
[citation][year=2019]Mechulam, N., Salvia, D., Rosá, A., and Etcheverry, M. (2019). Building dynamic lexicons for sentiment analysis. Inteligencia Artificial, 22(64):1–13.
[citation][year=2016]Ragini, J. R. and Anand, P. M. R. (2016). Sentiment analysis: A comprehensive overview and the state of art research challenges. Indian Journal of Science and Technology, 47(9).
[citation][year=2015]Puspitarani, Y. (2015). Sentimen analysis terhadap nilai kepercayaan sebuah online shop di instagram. Jurnal Ilmiah Teknologi Informasi Terapan, 2(1):76–81.

[publication]Gonçalo Oliveira, H,  and Pérez, L.A. and Paulo Gomes , "Integrating lexical-semantic knowledge to build a public lexical ontology for Portuguese", in 17h International Conference on Applications of Natural Language to Information Systems (NLDB 2012), Groningen, The Netherlands, 2012
[citation][year=2015]Cabezudo, M. A. S., Maziero, E. G., Souza, J. W. C., Dias, M. S., Cardoso, P. C. F., Filho, P. P. B., Agostini, V., Nbrega, F. A. A., Barros, C. D., Felippo, A. D., and Pardo, T. A. S. (2015). Anotação de sentidos de verbos em textos jornalísticos do corpus CSTNews. Revista de Estudos da Linguagem, 23(3):797–832.
[citation][year=2015]Marco Cabezudo and Thiago Pardo. Exploratory Study of Word Sense Disambiguation
Methods for Verbs in Brazilian Portuguese. Proceedings of 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICling 2015). Cairo, Egypt. 2015.
[citation][year=2014]Cristiana Filipa Lopes Amorim. Automatic tool for screening of cognitive impairments. Master’s thesis, Instituto Superior Técnico, Lisboa, Portugal. Junho 2014.
[citation][year=2014]Cabezudo, M. A. S., Maziero, E. G., Souza, J. W. C., Dias, M. S., Cardoso, P. C. F., Filho, P. P. B., Agostini, V., Nóbrega, F. A. A., Barros, C. D., Felippo, A. D., and Pardo, T. A. S. (2014). Anotação de sentidos de verbos no córpus cstnews. Technical report, NILC-ICMC-USP.
[citation][year=2013]Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. 19(4): 553-571 (2013).
[citation][year=2012]Valeria de Paiva, Alexandre Rademaker, Gerard de Melo. OpenWordNet-PT: An Open Brazilian WordNet for Reasoning. In Proceedings of COLING 2012 (Demonstration Paper) .
[citation][year=2012]Leonardo Zilio, Kassius Prestes, Rodrigo Wilkens, Aline Villavicencio. Geração semi-automática de uma ontologia geral de língua comum. XI Encontro de Linguística de Corpus (ELC), São Carlos, SP, Brasil, 2012.

[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Ontologising Semantic Relations into a Relationless Thesaurus", in 20th European Conference on Artificial Intelligence (ECAI 2012), Montpellier, France, 2012
[citation][year=2013]Simões, Alberto, Álvaro Iriarte, and José João Almeida. Dicionário-Aberto: Construção semiautomática de uma funcionalidade codificadora. In Alain Lemaréchal, Peter Koch, and Pierre Swiggers, editors, Actes du XXVIIe Congrès international de linguistique et de philologie romanes, Nancy, 15-20 july 2013. ALTIF. Section 16 : Projets en cours; ressources et outils nouveaux

[publication]Gonçalo Oliveira, H,  , "PoeTryMe: a versatile platform for poetry generation", in ECAI 2012 Workshop on Computational Creativity, Concept Invention, and General Intelligence (C3GI), Montpellier, France, 2012
[citation][year=2020]Moreno-Jiménez, L.-G., Torres-Moreno, J.-M., and Wedemann, R. S. (2020). Generación automática de frases literarias en Español. arXiv preprint. https://arxiv.org/abs/2001.11381
[citation][year=2020]Bena, B. and Kalita, J. (2020). Introducing aspects of creativity in automatic poetry generation. https://arxiv.org/abs/2002.02511.
[citation][year=2020]Ferreira, M. C. (2020). A human touch in computer-generated literature. In Gouveia, S. S., editor, The Age of Artificial Intelligence: An Exploration, chapter 11, pages 193–210. Vernon Press.
[citation][year=2020]Moreno, L., Torres-Moreno, J.-M., and Wedemann, R. S. (2020). Literary natural language generation with psychological traits. In Proceedings of 25th International Conference on Appli-cations of Natural Language to Information Systems (NLDB 2020), LNCS. Springer.
[citation][year=2020]Shen, L., Guo, X., and Chen, M. (2020). Compose like humans: Jointly improving the coherence and novelty for modern chinese poetry generation.
[citation][year=2020]de Cruys, T. V. (2020). Artificial intelligence and literature. In Marquis, P., Papini, O., and Prade, H., editors, A Guided Tour of Artificial Intelligence Research, volume III, pages 487–501. Springer, Cham.
[citation][year=2020]Wu, L., Xu, M., Qian, S., and Cui, J. (2020). Image to modern chinese poetry creation via a constrained topic-aware model. ACM Trans. Multimedia Comput. Commun. Appl., 16(2).
[citation][year=2020]Gopidi, A. (2020). Poetry in the age of mechanical reproduction: A computational study. Master’s thesis, International Institute of Information Technology, Hyderabad, India.
[citation][year=2020]Van de Cruys, T. (2020). Automatic poetry generation from prosaic text. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 2471–2480, Online. Association for Computational Linguistics.
[citation][year=2020]Miyano, T. and Saito, H. (2020). Rap lyrics generation using vowel GAN. In Proceedings of 16th International Conference of the Pacific Association for Computational Linguistics (PACLING 2019), volume 1215 of CCIS, pages 307–318. Springer, Singapore.
[citation][year=2019]Lamar, A. K. and Chambers, A. (2019). Generating homeric poetry with deep neural networks. In Proceedings of the 1st International Transdiscplinary A. I. Conference.
[citation][year=2019]Vincent, R. (2019). Multilingual poetry generation. Master’s thesis, Norwegian University of Science and Technology.
[citation][year=2019]Tucker, S. (2019). Transfer learning across languages with poetry. Master’s thesis, University of Colorado Colorado Springs.
[citation][year=2019]Liang, H., Wang, H., Li, Q., Wang, J., Xu, G., Chen, J., Wei, J.-M., and Yang, Z. (2019). A general framework for learning prosodic-enhanced representation of rap lyrics. World Wide Web.
[citation][year=2019]Gero, K. I. and Chilton, L. B. (2019). Metaphoria: An algorithmic companion for metaphor creation. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI ’19, pages 296:1–296:12, New York, NY, USA. ACM.
[citation][year=2019]Booten, K. (2019). Toward digital Progymnasmata. In Proceedings of 10th International Conference on Computational Creativity, ICCC 2019, pages 1–8, UNC Charlotte, North Carolina, USA. ACC.
[citation][year=2019]van Stegeren, J. and Theune, M. (2019). Churnalist: Fictional headline generation for context-appropriate flavor text. In Proceedings of 10th International Conference on Computational Creativity, ICCC 2019, pages 65–73, UNC Charlotte, North Carolina, USA. ACC.
[citation][year=2019]Oita, M. (2019). Incremental alignment of metaphoric language model for poetry composition. In Intelligent Computing – Proceedings of the 2019 Computing Conference, volume 997 of Advances in Intelligent Systems and Computing, pages 834–845. Springer.
[citation][year=2019]Fan, H., Wang, J., Zhuang, B., Wang, S., and Xiao, J. (2019). Automatic acrostic couplet generation with three-stage neural network pipelines. Lecture Notes in Computer Science, page 314–324.Springer.
[citation][year=2019]Lu, X., Wang, J., Zhuang, B., Wang, S., and Xiao, J. (2019). A syllable-structured, contextually-based conditionally generation of Chinese lyrics. ArXiv e-prints.
[citation][year=2019]Wang, L., Yu, Y., and Zhang, Y. (2019). Custom generation of poetry based on seq2seq model. Journal of Frontiers of Computer Science and Technology.
[citation][year=2019]Zhang, R., Liu, X., Chen, X., Hu, Z., Xu, Z., and Mao, Y. (2019). Generating Chinese Ci with designated metrical structure. In Proceedings of 33rd AAAI Conference on Artificial Intelligence, pages 7459–7467. AAAI Press.
[citation][year=2019]Wu, C.-C., Song, R., Sakai, T., Cheng, W.-F., Xie, X., and Lin, S.-D. (2019). Evaluating image-inspired poetry generation. In Natural Language Processing and Chinese Computing (NLPCC 2019), volume 11838 of LNCS, pages 539–551, Cham. Springer International Publishing.
[citation][year=2019]Guo, X., Chen, M., Song, Y., He, X., and Zhou, B. (2019). Automated thematic and emotional modern Chinese poetry composition. In Natural Language Processing and Chinese Computing (NLPCC 2019), volume 11838 of LNCS, pages 433–446, Cham. Springer International Publishing.
[citation][year=2019]Gervás, P. (2019). Exploring quantitative evaluations of the creativity of automatic poets. In Veale, T. and Cardoso, F. A., editors, Computational Creativity – The Philosophy and Engineering of Autonomously Creative Systems, pages 275–304. Springer.
[citation][year=2019]Wu, L. (2019). Generating Descriptive and Accurate Image Captions with Neural Networks. PhD thesis, University of Technology Sydney.
[citation][year=2019]van de Cruys, T. (2019). La génération automatique de poésie en français. In Conférence sur le Traitement Automatique des Langues Naturelles (TALN-RECITAL), pages 113–126, Toulouse, France.
[citation][year=2019]Neate, T., Roper, A., Wilson, S., and Marshall, J. (2019). Empowering expression for users with aphasia through constrained creativity. In 2019 CHI Conference on Human Factors in Computing Systems, Glasgow.
[citation][year=2018]Liang, H., Li, Q., Wang, H., Li, H., Wang, J., Sun, Z., Wei, J.-M., and Yang, Z. (2018). HAVAE: Learning prosodic-enhanced representations of rap lyrics. In PRICAI 2018: Trends in Artificial Intelligence – Proceedings of 15th Pacific Rim International Conference on Artificial Intelligence, Part I, volume 11012 of LNCS, pages 1–15.
[citation][year=2018]Cheng, W.-F., Wu, C.-C., Song, R., Fu, J., Xie, X., and Nie, J.-Y. (2018). Image Inspired Poetry Generation in XiaoIce. ArXiv e-prints.
[citation][year=2018]Loughran, R. (2018). Grammatical evolution and creativity. In Handbook of Grammatical Evolution, pages 341–366. Springer.
[citation][year=2018]Liu, D., Lv, J., and Li, Y. (online since October 2018). Generating style-specific Chinese Tang poetry with a simple actor-critic model. IEEE Transactions on Emerging Topics in Computational Intelligence.
[citation][year=2018]Yang, C., Sun, M., Yi, X., and Li, W. (2018). Stylistic chinese poetry generation via unsupervised style disentanglement. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018, pages 3960–3969. ACL Press.
[citation][year=2018]Li, J., Song, Y., Zhang, H., Chen, D., Shi, S., Zhao, D., and Yan, R. (2018). Generating classical chinese poems via conditional variational autoencoder and adversarial training. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018, pages 3890– 3900. ACL Press.
[citation][year=2018]Xu, L., Jiang, L., Qin, C., Wang, Z., and Du, D. (2018). How images inspire poems: Generating classical chinese poetry from images with memory networks. In Proceedings of 32nd AAAI Conference on Artificial Intelligence. AAAI Press.
[citation][year=2018]Munigala, V., Mishra, A., Tamilselvam, S. G., Khare, S., Dasgupta, R., and Sankaran, A. (2018). Persuaide ! an adaptive persuasive text generation system for fashion domain. In Companion of the The Web Conference 2018 on The Web Conference 2018, WWW ’18, pages 335– 342, Republic and Canton of Geneva, Switzerland. International World Wide Web Conferences Steering Committee.
[citation][year=2018]Ghazvininejad, M. (2018). Neural Creative Language Generation. PhD thesis, University of Southern California.
[citation][year=2018]Liu, B., Fu, J., Kato, M. P., and Yoshikawa, M. (2018). Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training. ArXiv e-prints.
[citation][year=2018]Davies, C., Wiratunga, N., and Martin, K. (2018). Gramerror: A quality metric for machine generated songs. In Proceedings of 38th SGAI International Conference on Artificial Intelligence, volume 11311 of Lecture Notes in Computer Science, pages 184–190. Springer.
[citation][year=2018]Meyer-Sickendiek, B., Hussein, H., and Baumann, T. (2018). First steps towards the creation of a poetry translation mapping system. In Proceedings of European Conference on Data Analysis (ECDA), Paderborn, Germany.
[citation][year=2018]Lamb, C. E. (2018). TwitSong: A current events computer poet and the thorny problem of assessment. PhD thesis, University of Waterloo, Ontario, Canada.
[citation][year=2018]Ghazvininejad, M., Choi, Y., and Knight, K. (2018). Neural poetry translation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 67–71. ACL Press.
[citation][year=2018]Liu, D., Guo, Q., Li, W., and Lv, J. (2018). A multi-modal chinese poetry generation model. In Proceedings of 2018 International Conference on Neural Networks, IJCNN 2018.
[citation][year=2018]Wei, J., Zhou, Q., and Cai, Y. (2018). Poet-based poetry generation: Controlling personal style with recurrent neural networks. In Proceedings of 2018 International Conference on Computing, Networking and Communications, ICNC, pages 156–160.
[citation][year=2018]Ventura, D. and Gates, D. (2018). Ethics as aesthetic: A computational creativity approach to ethical behavior. In Proceedings of 9th International Conference on Computational Creativity, pages 185–191, Salamanca, Spain. ACC.
[citation][year=2018]Loller-Andersen, M. and Gambäck, B. (2018). Deep learning-based poetry generation given visual input. In Proceedings of 9th International Conference on Computational Creativity, pages 240–247, Salamanca, Spain. ACC.
[citation][year=2018]Zhang, J. and Wang, D. (2018). Chinese Poetry Generation with Flexible Styles. ArXiv e-prints.
[citation][year=2017]Zhang, J., Feng, Y., Wang, D., Wang, Y., Abel, A., Zhang, S., and Zhang, A. (2017). Flexible and creative Chinese poetry generation using neural memory. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada. ACL Press.
[citation][year=2017]Ghazvininejad, M., Shi, X., Priyadarshi, J., and Knight, K. (2017). Hafez: an interactive poetry generation system. In Proceedings of ACL-2017 System Demonstrations, Vancouver, Canada. ACL Press.
[citation][year=2017]Wang, Q., Luo, T., and Wang, D. (2017). Can machine generate traditional chinese poetry? A Turing test. Technical Report 20160032, CSLT.
[citation][year=2017]Ventura, D. (2017). How to build a cc system. In Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017, Atlanta, Georgia, USA.
[citation][year=2017]Manex Aguirrezabal Zabaletak (2017). Automatic Scansion of Poetry. PhD thesis, Universidade del País Vasco, San Sebastian, 2017.
[citation][year=2017]Gervás, P. (2017). Template-free construction of rhyming poems with thematic cohesion. In Proceedings of the Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2017), pages 21–28, Santiago de Compostela, Spain. Association for Computational Linguistics.
[citation][year=2017]Pablo Gervás (2017), Deconstructing Computer Poets: Making Selected Processes Available as Services. Computational Intelligence. Volume 33, Issue 1, pages 3–31, February 2017.
[citation][year=2017]Loller-Andersen, M. (2017). Computational linguistic creativity: Poetry generation given visual input. Master’s thesis, Norwegian University of Science and Technology (NTU).
[citation][year=2016]Wujian Yang, Yining Cheng, Jie He, Wenqiong Hu, and Xiaojia Lin. Research on community competition and adaptive genetic algorithm for automatic generation of Tang Poetry. Mathematical Problems in Engineering. Online since March 2016.
[citation][year=2016]Gervás, P. and Léon, C. (2016). Creativity and Universality in Language, chapter Integrating Purpose and Revision into a Computational Model of Literary Generation, pages 105–121. Springer.
[citation][year=2016]Teixeira, A. J. S., Miguel, P., Rodrigues, M., Pereira, J. C., and Amorim, M. (2016). From web to persons - providing useful information on hotels combining information extraction and natural language generation. In Online Proceedings of IberSPEECH’2016, pages 271–280.
[citation][year=2016]Wang, Q., Luo, T., Wang, D., and Xing, C. (2016). Chinese song iambics generation with neural attention-based model. In Proceedings of the 25th International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA. AAAI Press.
[citation][year=2016]Wang, Q., Luo, T., and Wang, D. (2016). Can machine generate traditional Chinese poetry? a feigenbaum test. In Proceedings of International Conference on Brain Inspired Cognitive Systems. BICS 2016., volume 10023 of LNCS. Springer.
[citation][year=2016]Gervás, P. (2016). Constrained creation of poetic forms during theme-driven exploration of a domain defined by an n-gram model. Connection Science, 28(2):111–130.
[citation][year=2016]Wang, Z., He, W., Wu, H., Wu, H., Li, W., Wang, H., and Chen, E. (2016). Chinese poetry generation with planning based neural network. CoRR, abs/1610.09889.
[citation][year=2016]Yan, R. (2016). i, poet: Automatic poetry composition through recurrent neural networks with iterative polishing schema. In Proceedings of 25th International Joint Conference on Artificial Intelligence, IJCAI-16, New York, NY, USA. AAAI Press.
[citation][year=2016]Yan, R., Li, C.-T., Hu, X., and Zhang, M. (2016). Chinese couplet generation with neural network structures. In Proceedings of 54th Annual Meeting of the Association for Computational Linguistics, Vol 1: Long Papers, ACL 2016, pages 2347–2357, Berlin, Germany. ACL Press.
[citation][year=2016]McGregor, S., Purver, M., and Wiggins, G. (2016). Process based evaluation of computer generated poetry. In Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation, pages 51–60, Edinburgh, UK. ACL Press.
[citation][year=2016]Ghazvininejad, M., Shi, X., Choi, Y., and Knight, K. (2016). Generating topical poetry. In Proceedings of Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA. ACL Press.
[citation][year=2016]Wang, Z., He, W., Wu, H., Wu, H., Li, W., Wang, H., and Chen, E. (2016). Chinese poetry generation with planning based neural network. In Proceedings of 26th International Conference on Computational Linguistics, COLING 2016, Osaka, Japan. ACL Press.
[citation][year=2015]José Casimiro Pereira and António Teixeira (2015). Geração de Linguagem Natural para Conversão de Dados em Texto: Aplicação a um Assistente de Medicação para o Português. Linguamática, 7(1):3–21. Julho 2015.
[citation][year=2015]Gervás, P. (2015). A personal perspective into the future for computational creativity. In Besold, T. R., Schorlemmer, M., and Smaill, A., editors, Computational Creativity Research: Towards Creative Machines, Atlantis Thinking Machines, pages 393–406. Atlantis-Springer.
[citation][year=2015]Schafer, B., Komuves, D., Zatarain, J. M. N., and Diver, L. (2015). A fourth law of robotics? copyright and the law and ethics of machine co-production. Artificial Intelligence and Law. (online September 2015)
[citation][year=2015]Toivonen, H. and Gross, O. (2015). Data mining and machine learning in computational creativity. WIREs Data Mining Knowledge Discovery. (online since October 2015).
[citation][year=2015]Pablo Gervás (2015). Tightening the constraints on form and content for an existing computer poet. In Proceedings of AISB 2015 Symposium on Computational Creativity, University of Kent, Canterbury, United Kingdom. Society for the Study of Artificial Intelligence and Simulation of Behaviour.
[citation][year=2015]Hroncova, M. and Machova, K. (2015). Generating haiku poems using methods of artificial intelligence. In Proceedings of 10th Workshop on Intelligent and Knowledge oriented Technologies, WIKT, Koice, Slovakia.
[citation][year=2015]Scirea, M., Barros, G. A. B., Shaker, N., and Togelius, J. (2015). Smug: Scientific music generator. In Proceedings of the 6th International Conference on Computational Creativity, ICCC 2015, pages 204–211, Park City, UT, USA.
[citation][year=2015]Chrismartin, B. and Tobing, L., and Manurung, R. (2015). A chart generation system for topical meaningful metrical poetry. In Proceedings of The 6th International Conference on Computational Creativity, ICCC 2015, pages 308–314, Park City, UT, USA.
[citation][year=2014]John Lee, Ying Cheuk Hui, Yin Hei Kong. Knowledge-rich, computer-assisted composition of Chinese couplets. Journal of Literary &  Linguist Computing. Oxford University Press. (first published) October 2014.
[citation][year=2014]Zhang, Xingxing and Lapata, Mirella (2014). Chinese poetry generation with recurrent neural networks. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 670–680, Doha, Qatar. ACL Press.
[citation][year=2014]Xana Sá-Pinto, Rita Ponce, Maria João Fonseca, Paulo de Oliveira e Rita Campos. Evolução biológica do dia a dia das escolas. Revista de Ciência Elementar, ISSN 2183-1270, Volume 2, Número 3. 2014.
[citation][year=2013]Rui Yan, Han Jiang, Mirella Lapata, Shou-De Lin, and Xiaoming Li. i, Poet: Automatic Chinese Poetry Composition through a Generative Summarization Framework under Constrained Optimization. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China, August 3-9, 2013.

[publication]Gonçalo Oliveira, H,  and Costa, Hernani and Santos, D. , "Browsing Portuguese with Folheador", in 10th International Conference on Computational Processing of the Portuguese Language, Demo Session (PROPOR 2012), Coimbra, Portugal, 2012

[publication]Gonçalo Oliveira, H,  and Pérez, L.A. and Paulo Gomes , "Exploring Onto.PT", in Demo Session of PROPOR 2012, 10th International Conference on the Computational Processing of the Portuguese Language, 2012
[citation][year=2013]Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. 19(4): 553-571 (2013).

2011(7 publications)
[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Automatic Discovery of Fuzzy Synsets from Dictionary Definitions", in 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Spain, 2011
[citation][year=2020]Hossayni, S.-A., Akbarzadeh-T, M.-R., Recupero, D. R., Gangemi, A., Acebo, E. D., and de la Rosa i Esteva, J. L. (2020). An algorithm for fuzzification of wordnets, supported by a mathematical proof. https://arxiv.org/abs/2006.04042.
[citation][year=2018]Hossayni, S. A. (2018). Foundations of uncertainty management for text-based sentiment prediction. PhD thesis, Universitat de Girona.
[citation][year=2017]Alexeyevsky, D. (2017). Semi-supervised relation extraction from monolingual dictionary for russian wordnet. In Computational Linguistics and Intelligent Text Processing – 18th Interntional Conference, CICLing 2017, Budapest, Hungary, April 17-23, 2017, Revised Selected Papers, Part I, volume 10761 of LNCS, pages 488–499. Springer.
[citation][year=2017]Chernoskutov, M. and Ustalov, D. (2017). Synonymy graph connectivity in graph-based word sense induction. In Proceedings of 2017 Siberian Symposium on Data Science and Engineering (SSDSE). IEEE.
[citation][year=2016]Hossayni, S.-A., Akbarzadeh-T, M.-R., Recupero, D. R., Gangemi, A., and de la Rosa i Esteva, J. L. (2016). Fuzzy synsets, and lexicon-based sentiment analysis. In Joint Proceedings of the 2th Workshop on Emotions, Modality, Sentiment Analysis and the Semantic Web and the 1st International Workshop on Extraction and Processing of Rich Semantics from Medical Texts, Heraklion, Greece.
[citation][year=2016]Hossayni, S.-A., Rajati, M.-R., Acebo, E. D., Recupero, D. R., Gangemi, A., Akbarzadeh-T, M.-R., and de La Rosa I Esteva, J. L. (2016). Towards interval version of fuzzy synsets. In Artificial Intelligence Research and Development – Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence, Barcelona, Catalonia, Spain, October 19-21, 2016, volume 288 of Frontiers in Artificial Intelligence and Applications, pages 297–302. IOS Press.
[citation][year=2015]Gunawan, Purnama, I. K. E., and Hariadi, M. (2015). Supervised learning indonesian gloss acquisition. IAENG International Journal of Computer Science, 42(4):337–346.
[citation][year=2015]Hu, F., Shao, Z., and Ruan, T. (2015). Self-supervised synonym extraction from the web. Journal of Information Science and Engineering, 31:1133–1148.
[citation][year=2014]Alberto Simões and Xavier Gómez Guinovart (2014). Bootstrapping a Portuguese wordnet from Galician, Spanish and English wordnets. In Proceedings of 2nd International Conference on Speech and Language Technologies for Iberian Languages (IberSpeech 2014), volume 8854 of LNCS, pages 239–248, Las Palmas de Gran Canaria, Spain. Springer.
[citation][year=2014]Hope, D. R. (2014). Graph-Based Approaches to Word Sense Induction. PhD thesis, University of Sussex.
[citation][year=2014]Bing, Z. and Chun, C. (2014). Research on the synset construction method based on term normalization. Journal of Intelligence, 33(7):171–175.
[citation][year=2013]Madeeh Nayer El-Gedawy. Using Fuzzifiers to Solve Word Sense Ambiguation in Arabic Language. International Journal of Computer Applications (0975 – 8887), Volume 79 – No2, October 2013
[citation][year=2012]Leonardo Zilio, Kassius Prestes, Rodrigo Wilkens, Aline Villavicencio. Geração semi-automática de uma ontologia geral de língua comum. XI Encontro de Linguística de Corpus (ELC), São Carlos, SP, Brasil, 2012.
[citation][year=2012]P. León Araúz, J. Gómez-Romero, F. Bobillo. A Fuzzy Ontology Extension of WordNet and EuroWordnet for Specialized Knowledge. Terminology and Knowledge Engineering Conference (TKE 2012). Madrid, Spain: Jun. 2012.

[publication]Costa, Hernani and Gonçalo Oliveira, H,  and Paulo Gomes , "Using the Web to Validate Lexico-Semantic Relations", in 15th Portuguese Conference on Artificial Intelligence (EPIA 2011), Lisbon, Portugal, 2011
[citation][year=2017]Petit, J. (2017). Contribution à la modélisation d’une conscience culturelle artificielle émique par les ontologies. PhD thesis, Reims.
[citation][year=2016]Petit, J. and Risch, J.-C. (2016). Identification de Relations Sémantiques Supportée par des Algorithmes d’Apprentissage Supervisé Utilisant des Mesures de Proximité Sémantique. In 16éme Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances, EGC 2016, pages 73–84, Reims, France.

[publication]Barreiro, A. and Gonçalo Oliveira, H,  , "Cross-language semantic relations between english and portuguese", in SEPLN 2011 Workshop on Iberian Cross-Language NLP tasks (ICL), Huelva, Spain, 2011
[citation][year=2015]Danko Šipka (2015). Lexical Conflict: Theory and Practice. Cambridge University Press.
[citation][year=2014]Eugenio Martínez-Cámara, M. Teresa Martín-Valdivia, M. Dolores Molina-González, José M. Perea-Ortega. Integrating Spanish lexical resources by meta-classifiers for polarity classification. Journal of Information Science (Published online before print May 19, 2014)
[citation][year=2013]Martín-Valdivia, María-Teresa,  Martínez-Cámara, Eugenio, Perea-Ortega, Jose-M., Ureña-López, L. Alfonso. Sentiment polarity detection in Spanish reviews combining supervised and unsupervised approaches. Expert Systems With Applications, Volume 40, issue 10 (August, 2013), p. 3934-3942. Elsevier Science.
[citation][year=2013]M. Dolores Molina-González, Eugenio Martínez-Cámara, María-Teresa Martín-Valdivia, José M. Perea-Ortega.
Semantic orientation for polarity classification in Spanish reviews.  Expert Systems with Applications 40(18): 7250-7257. 2013

[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Ontologising relational triples into a portuguese thesaurus", in 15th Portuguese Conference on Artificial Intelligence (EPIA 2011), Lisbon, Portugal, 2011

[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Automatically enriching a thesaurus with information from dictionaries", in 15th Portuguese Conference on Artificial Intelligence (EPIA 2011), Lisbon, Portugal, 2011

[publication]Pérez, L.A. and Gonçalo Oliveira, H,  and Paulo Gomes , "Extracting lexical-semantic knowledge from the Portuguese Wiktionary", in 15th Portuguese Conference on Artificial Intelligence (EPIA 2011), Lisbon, Portugal, 2011
[citation][year=2018]Miletic, A. (2018). Un treebank pour le serbe: constitution et exploitations. PhD thesis, Université Toulouse-Jean Jaurès.
[citation][year=2014]Nabil Hathout, Franck Sajous and Basilio Calderone. GLÀFF, a Large Versatile French Lexicon. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC'14). ELRA, Reykjavik, Iceland. 2014.
[citation][year=2014]Basilio Calderone, Nabil Hathout, Franck Sajous. From GLÀFF to PsychoGLÀFF: a Large Psycholinguistics-oriented French Lexical Resource. Proceedings of the XVI EURALEX International Congress, 15-19 July 2014, Bolzano/Bozen. 2014.
[citation][year=2014]Franck Sajous, Nabil Hathout, Basilio Calderone. Ne jetons pas le Wiktionnaire avec l'oripeau du Web ! Études et réalisations fondées sur le dictionnaire collaboratif. 4ème Congrès Mondial de Linguistique Française (CMLF 2014), Berlin, Allemagne, 2014.
[citation][year=2014]Nabil Hathout, Franck Sajous, Basilio Calderone. Acquisition and enrichment of morphological and morphosemantic
knowledge from the French Wiktionary. Proceedings of the COLING Workshop on Lexical and Grammatical Resources for Language Processing, August 24, pages 65–74, Dublin, Ireland. ACL 2014.
[citation][year=2013]Franck Sajous, Nabil Hathout and Basilio Calderone. GLÀFF, un Gros Lexique À tout Faire du Français. Actes de la 20e conférence sur le Traitement Automatique des Langues Naturelles (TALN'2013), pp. 285-298. 2013.

[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Onto.PT: Construção automática de uma ontologia lexical para o português", in 1º Encontro de Pós-graduação em Linguística, 2011
[citation][year=2013]Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. Springer. July 2013

2010(8 publications)
[publication]Freitas, C. and Gonçalo Oliveira, H,  and Mota, C. and Santos, D. and Carvalho, P. , "Second HAREM: advancing the state of the art of named entity recognition in Portuguese", in LREC 2010 - International Conference on Language Resources and Evaluation, La Valetta, Malta, 2010
[citation][year=2020]Alves, D., Kuculo, T., Amaral, G., Thakkar, G., and Tadic, M. (2020). Uner: Universal named-entity recognition framework. In Proceedings of 1st International Workshop on Cross-lingual Event-centric Open Analytics, co-located with 17th Extended Semantic Web Conference (ESWC 2020), CLEOPATRA 2020, pages 72–79. CEUR-WS.org.
[citation][year=2020]Alves, D., Bekavac, B., and Tadic, M. (2020). Optimization of Portuguese Named Entity Recognition and classification by combining local grammars and Conditional Random Fields trained with parsed corpora. In Book of Abstract of the 14th International Conference NooJ 2020, pages 30–31. FF Press.
[citation][year=2020]V. Mendonça, A. Sardinha, L. Coheur and A. L. Santos, "Query Strategies, Assemble! Active Learning with Expert Advice for Low-resource Natural Language Processing," 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, 2020, pp. 1-8, doi: 10.1109/FUZZ48607.2020.9177707.
[citation][year=2020]da Silva, C. J. A. P. (2020). Detecting and protecting personally identifiable information through machine learning techniques. Master’s thesis, Universidade do Porto.
[citation][year=2020]de Araujo, P. H. L. (2020). From documents to entities: A journey through natural language processing tasks and domains. Master’s thesis, University of Brasília.
[citation][year=2019]Souza, F., Nogueira, R., and Lotufo, R. (2019). Portuguese named entity recognition using BERT-CRF. arXiv.
[citation][year=2019]Canosa, X., Gamallo, P., Varela, X., Taboada, J. A., Taboada, J. A., and Garcia, M. (2019). Uma utilidade para o reconhecimento de topónimos em documentos medievais. Linguamática, 11(1).
[citation][year=2019]Martin-Rodilla, P., Hattori, M. L., and Gonzalez-Perez, C. (2019). Assisting forensic identification through unsupervised information extraction of free text autopsy reports: The disappearances cases during the Brazilian military dictatorship. Information, 10(7).
[citation][year=2019]Gamallo, P., Garcia, M., and Martín-Rodilla, P. (2019). NER and Open Information Extraction for Portuguese: Notebook for IberLEF 2019 Portuguese Named Entity Recognition and Relation Extraction tasks. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019), co-located with 35th Conference of the Spanish Society for Natural Language Processing (SEPLN 2019), CEUR Workshop Proceedings, pages 457–467, Bilbao, Spain. CEUR-WS.org.
[citation][year=2019]Santos, J., Terra, J., Consoli, B., and Vieira, R. (2019). Multidomain contextual embeddings for Portuguese Named Entity Recognition. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019), co-located with 35th Conference of the Spanish Society for Natural Language Processing (SEPLN 2019), CEUR Workshop Proceedings, pages 434–441, Bilbao, Spain. CEUR-WS.org.
[citation][year=2019]Rodrigues, A. X. C. (2019). Referentes por coordenadas e georreferências relativas das entidades geográficas mencionadas na Peregrinação. In XII Congresso da Associação Internacional de Lusitanitas (AIL), volume 1, pages 11–34, Macau.
[citation][year=2019]Menezes, D. S., Savarese, P., and Milidú, R. L. (2019). Building a massive corpus for named entity recognition using free open data sources. CoRR, abs/1908.05758.
[citation][year=2018]Menezes, D. S. S. (2018). Reconhecimento de entidades mencionadas para o português. Master’s thesis, PUC-Rio.
[citation][year=2018]Fernandes, I. A. D. (2018). A deep learning approach to named entity recognition in portuguese texts. Master’s thesis, Universidade do Porto.
[citation][year=2018]de Araujo, P. H. L., de Campos, T. E., de Oliveira, R. R. R., Stauffer, M., Couto, S., and Bermejo, P. (2018). Lener-br: A dataset for named entity recognition in brazilian legal text. In Computational Processing of the Portuguese Language - 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings, volume 11122 of LNCS, pages 313–323. Springer.
[citation][year=2018]Cortes, E. G., Woloszyn, V., and Barone, D. A. C. (2018). When, where, who, what or why? a hybrid model to question answering systems. In Computational Processing of the Portuguese Language - 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings, volume 11122 of LNCS, pages 136–146. Springer.
[citation][year=2018]Lima, T., Collovini, S., Leal, A. L., Fonseca, E., Han, X., Huang, S., and Vieira, R. (2018). Analysing semantic resources for coreference resolution. In Computational Processing of the Portuguese Language - 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings, volume 11122 of LNCS, pages 284–293. Springer.
[citation][year=2018]Fernandes, I., Cardoso, H. L., and Oliveira, E. (2018). Applying deep neural net- works to named entity recognition in portuguese texts. In 5th International Conference on Social Networks Analysis, Management and Security, SNAMS, pages 284–289, Valencia, Spain.
[citation][year=2018]Vieira, R., Mendes, A., Quaresma, P., Fonseca, E., Collovini, S., and Antunes, S. (2018). Corref-pt: A semi-automatic annotated portuguese coreference corpus. Computaci ?on y Systemas, 22(4).
[citation][year=2018]Fonseca, E. B. (2018). Resolução de Correferência Nominal Usando Semântica em Língua Portuguesa. PhD thesis, Pontfícia Universidade Católica do Rio Grande do Sul.
[citation][year=2017]Fonseca, E., Sesti, V., Antonitsch, A., Vanin, A., and Vieira, R. (2017). CORP: Uma abordagem baseada em regras e conhecimento semntico para a resoluo de correferncias. Linguamática, 9(1):3–18.
[citation][year=2017]Pires, A. R. O. (2017). Named entity extraction from Portuguese web text. MSc thesis, Universidade do Porto.
[citation][year=2017]Collovini de Abreu, S. and Vieira, R. (2017). RelP: Portuguese open relation extraction. KO Knowledge Organization, 44(3):163–177.
[citation][year=2017]de Cândido, T. G. and Webber, C. G. (2017). AAACT – avaliador e analisador automático de coesão textual. Technical report, Universidade de Caxias do Sul.
[citation][year=2017]Rocha, G. and Cardoso, H. L. (2017). Coreference resolution in portuguese: The impact of training set generation approaches. In Proceedings of the 12th Doctoral Symposium in Informatics Engineering (DSIE’17), pages 125–136, Porto, Portugal.
[citation][year=2017]Carnaz, G., Bayot, R., Nogueira, V. B., Gonalves, T., and Quaresma, P. (2017). Extracting and representing entities from open sources of information in the agatha project. In Proceedings of the 21th International Conference on Applications of Declarative Programming and Knowledge Man- agement, INAP 2017, Wurzburg, Germany.
[citation][year=2017]Rocha, G. and Cardoso, H. L. (2017). Towards a mention-pair model for coreference resolution in Portuguese. In Progress in Artificial Intelligence - Proceedings of 18th Portuguese Conference on Artificial Intelligence, Porto, Portugal, September 5-8, 2017, LNCS, pages 855–867. Springer.
[citation][year=2017]Fonseca, E., Sesti, V., Collovini, S., Vieira, R., Leal, A. L., and Quaresma, P. (2017). Collective elaboration of a coreference annotated corpus for Portuguese texts. In Proceedings of Evaluation of Human Language Technologies for Iberian Languages, IberEval 2017.
[citation][year=2016]Antonitsch, A., Figueira, A., Amaral, D., Fonseca, E., Vieira, R., and Collovini, S. (2016). Summ-it++: an enriched version of the summ-it corpus. In Proceedings of 10th International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia. ELRA.
[citation][year=2016]Fonseca, E., Vieira, R., and Vanin, A. (2016). Adapting an entity centric model for portuguese coreference resolution. In Proceedings of 10th International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia. ELRA.
[citation][year=2016]Fonseca, E., Vieira, R., and Vanin, A. (2016). Improving coreference resolution with semantic knowledge. In Proceedings of 12th International Conference on Computational Processing of the Portuguese Language (PROPOR 2016), volume 9727 of LNAI, pages 213–224, Tomar, Portugal. Springer.
[citation][year=2016]Bonatti, R., de Paula, A. G., Lamarca, V. S., and Cozman, F. G. (2016). Effect of part-of-speech and lemmatization filtering in email classification for automatic reply. In Proceedings AAAI-16 Workshop on Knowledge Extraction from Text (KET@AAAI 2016).
[citation][year=2016]Nouvel, D., Ehrmann, M., and Rosset, S. (2016). Named Entities for Computational Linguistics. Wiley-ISTE.
[citation][year=2015]Chiele, G. C., Fonseca, E., and Vieira, R. (2015). Geração de modelo para reconhecimento de entidades nomeadas no OpenNLP. In IV Student Workshop on Information and Human Language Technology, TILic 2015, pages 15 – 19, Natal, RN, Brasil.
[citation][year=2015]Mendonça Júnior, C., Macedo, H., Bispo, T., Santos, F., Silva, N., and Barbosa, L. (2015). Paramopama: a Brazilian-Portuguese corpus for named entity recognition. In Encontro Nacional de Inteligência Artificial e Computacional, ENIAC 2015, pages 218–223, Natal, RN, Brasil.
[citation][year=2015]Fonseca, E. B., Chiele, G. C., Vieira, R., and Vanin, A. A. (2015). Reconhecimento de entidades nomeadas para o português usando o OpenNLP. In Encontro Nacional de Inteligência Artificial e Computacional, ENIAC 2015, pages 68–72, Natal, RN, Brasil.
[citation][year=2015]Amaral, D. O. F., Buffet, M., and Vieira, R. (2015). Comparative analysis between notations to classify named entities using conditional random fields. In Proceedings of Symposium in Information and Human Language Technology, STIL 2015, pages 27–32, Natal, RN, Brazil.
[citation][year=2015]Bonatti, R. and de Paula, A. G. (2015). Development of email classifier in Brazilian Portuguese using feature selection for automatic response. https://arxiv.org/pdf/1907.04905.pdf.
[citation][year=2015]Evandro B. Fonseca, Renata Vieira, Aline A. Vanin. Dealing With Imbalanced Datasets For Coreference Resolution. Proceedings of the 28th International Florida Artificial Intelligence Research Society Conference (FLAIRS), pp. 169-174. AAAI, 2015.
[citation][year=2014]Daniela O. F. do Amaral, Evandro Fonseca, Lucelene Lopes, Renata Vieira. Comparing NERP-CRF with Publicly Available Portuguese Named Entities Recognition Tools. Proceedings of International Conference on the Computational Processing of the Portuguese Language (PROPOR 2014), LNCS, Volume 8775, pp 244-249. Springer, 2014.
[citation][year=2014]Evandro B. Fonseca, Renata Vieira, Aline Vanin. Coreference Resolution for Portuguese: Person, Location and Organization. PROPOR 2014 MSc/MA Dissertations contest. São Carlos, SP, Brazil. 2014.
[citation][year=2014]Cristofer Weber and Renata Vieira. Building a Corpus for Named Entity Recognition using Portuguese Wikipedia and DBpedia. Proceedings of the 1st Workshop on Tools and Resources for Automatically Processing Portuguese and Spanish (ToRPorEsp), pp 9-15. São Carlos, SP, Brasil. 2014
[citation][year=2014]Evandro Brasil Fonseca (2014). Resolução de correferências em língua portuguesa: Pessoa, local e organização. Master’s thesis, Pontifícia Universidade Católica do Rio Grande do Sul.
[citation][year=2014]Kaur, Amandeep and Josan, Gurpreet Singh. Improved Named Entity Tagset for Punjabi Language. Proceedings of Recent Advances in Engineering and Computational Sciences (RAECS), pp 1-5, Chandigarh, India. 2014
[citation][year=2014]SANDRA COLLOVINI DE ABREU. Extração de Relações do Domínio de Organizações para o Português. Tese de Doutorado. Pontífica Universidade Católica do Rio Grande do Sul. 2014.
[citation][year=2013]Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. Springer. July 2013
[citation][year=2013]Evandro B. Fonseca and Renata Vieira and Aline A. Vanin. Geração de features para resolução de correferência: Pessoa, Local e Organização. Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology (STIL 2013), pp. 88 -- 97, Fortaleza, Brazil. October 2013.
[citation][year=2012]Wesley Seidel Carvalho. Reconhecimento de entidades mencionadas em português utilizando aprendizado de máquina. Instituto de Matemática e Estatística da Universidade de São Paulo. 2012.
[citation][year=2011]Agata Savary and Jakub Piskorski (2011). Language resources for named entity an- notation in the national corpus of polish. Control and Cybernetics, 40(2):361–391.

[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Automatic Creation of a Conceptual Base for Portuguese using Clustering Techniques", in 19th European Conference on Artificial Intelligence (ECAI 2010), Lisbon Portugal, 2010

[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Towards the Automatic Creation of a Wordnet from a Term-based Lexical Network", in TextGraphs-5: Graph-based Methods for Natural Language Processing (ACL 2010 Workshop), 2010
[citation][year=2018]Haque, R., Penkale, S., and Way, A. (2018). Termfinder: log-likelihood comparison and phrase-based statistical machine translation models for bilingual terminology extraction. Language Resources and Evaluation, page (online since February 2018).
[citation][year=2016]Wilkens, R., Zilio, L., Ferreira, E., and Villavicencio, A. (2016). B2sg: a toefl-like task for portuguese. In Proceedings of 10th International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia. ELRA.
[citation][year=2016]Wilkens, R., Zilio, L., Ferreira, E., and Villavicencio, A. (2016). The portuguese b2sg: A semantic test for distributional thesaurus. In Proceedings of 12th International Conference on Computational Processing of the Portuguese Language (PROPOR 2016), volume 9727 of LNAI, pages 115–121, Tomar, Portugal. Springer.
[citation][year=2016]Wilkens, R., Zilio, L., Idiart, M., Filho, J. W., Ferreira, E., Mollmann, L., Pasqualini, B., and Villavicencio, A. (2016). Resources for monolingual translation: a case study of text simplification for portuguese. In Proceedings Corpora and Tools for Processing Corpora at PROPOR 2016, pages 46–55.
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[publication]Costa, Hernani and Gonçalo Oliveira, H,  and Paulo Gomes , "The impact of distributional metrics in the quality of relational triples", in 19th European Conference on Artificial Intelligence (ECAI 2010), Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH 2010), Lisbon, Portugal, 2010

[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Onto.PT: Automatic Construction of a Lexical Ontology for Portuguese", in 5th European Starting AI Researcher Symposium (STAIRS), collocated event of ECAI 2010, Lisbon, Portugal, 2010
[citation][year=2019]Ribeiro, L. B., Rodrigues, A. R., Costa, K., and da Silva Filho, M. (2019). Quantification of textual comprehension difficulty with an information theory-based algorithm. Palgrave Communications, 5(1):103.
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[citation][year=2018]de Barcelos Silva, A. (2018). O uso de recursos linguísticos para mensurar a semelhança semântica entre frases curtas através de uma abordagem híbrida. Master’s thesis, Universidade do Vale do Rio dos Sinos (UNISINOS).
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[citation][year=2015]Livy Real and Fabricio Chalub and Valeria de Paiva and Cláudia Freitas and Alexandre Rademaker (2015). Seeing is correcting: curating lexical resources using social interfaces. In Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and Applications, pages 20–29, Beijing, China. ACL Press.
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[citation][year=2015]Garcia, M. and Gamallo, P. (2015). Exploring the effectiveness of linguistic knowledge for biographical relation extraction. Natural Language Engineering, 21(4):519–551.
[citation][year=2014]Alan Valejo, Brett Drury, Jorge Valverde-Rebaza and Alneu de Andrade Lopes. Identification of Related Brazilian Portuguese Verb Groups Using Overlapping Community Detection. Proceedings of International Conference on the Computational Processing of the Portuguese Language (PROPOR 2014), LNCS, Volume 8775, pp 292-297. Springer, 2014.
[citation][year=2014]Raquel Amaro. Extracting Semantic Relations from Portuguese Corpora using Lexical-Syntactic Patterns. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC'14). ELRA, Reykjavik, Iceland. 2014.
[citation][year=2014]Nabil Hathout, Franck Sajous and Basilio Calderone. GLÀFF, a Large Versatile French Lexicon. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC'14). ELRA, Reykjavik, Iceland. 2014.
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[citation][year=2014]Marcos Garcia (2014). Extracção de Relações Semânticas. Recursos, Ferramentas e Estratégias. PhD thesis, Universidade de Santiago de Compostela.
[citation][year=2013]Pinheiro, V., Furtado, V., Pequeno, T., and Franco, W. (2013). A semi-automated method for acquisition of common-sense and inferentialist knowledge. Journal of the Brazilian Computer Society, 19(1):75–87. Springer.
[citation][year=2013]Franck Sajous, Nabil Hathout and Basilio Calderone. GLÀFF, un Gros Lexique À tout Faire du Français. Actes de la 20e conférence sur le Traitement Automatique des Langues Naturelles (TALN'2013), pp. 285-298. 2013.
[citation][year=2013]Xavier Gómez Guinovart and Alberto Simões. Retreading Dictionaries for the 21st Century. Proceedings of 2nd Symposium on Languages, Applications and Technologies (SLATE 2013). OASIcs, 2013.
[citation][year=2012]Alberto Simões, Álvaro Iriarte Sanromán, José João Almeida. Dicionário-Aberto: A Source of Resources for the Portuguese Language Processing. Proceedings of Computational Processing of the Portuguese Language (PROPOR 2012), pp. 121-127, LNCS Volume 7243/2012. 2012
[citation][year=2010]Hernani Pereira Gomes Costa. Automatic Extraction and Validation of Lexical Ontologies from text. MSc Thesis. University of Coimbra, 2010.

[publication]Gonçalo Oliveira, H,  and Costa, Hernani and Paulo Gomes , "Extracção de conhecimento léxico-semântico a partir de resumos da Wikipédia.", in II Simpósio de Informática, Track on Gestão e Tratamento de Informação (INForum 2010), Braga, Portugal, 2010
[citation][year=2014]Alberto Simões and Xavier Gómez Guinovart (2014). Bootstrapping a Portuguese wordnet from Galician, Spanish and English wordnets. In Proceedings of 2nd International Conference on Speech and Language Technologies for Iberian Languages (IberSpeech 2014), volume 8854 of LNCS, pages 239–248, Las Palmas de Gran Canaria, Spain. Springer.
[citation][year=2014]Sandra Collovini and Lucas Pugens and Aline A. Vanin and Renata Vieira (2014). Extraction of relation descriptors for portuguese using conditional random fields. In Proceedings of 14th Ibero-American Conference on AI, IBERAMIA 2014, pages 108–119, Santiago de Chile, Chile. Springer.
[citation][year=2014]SANDRA COLLOVINI DE ABREU. Extração de Relações do Domínio de Organizações para o Português. Tese de Doutorado. Pontífícia Universidade Católica do Rio Grande do Sul. 2014.
[citation][year=2013]David S. Batista, David Forte, Rui Silva, Bruno Martins e Mario J. Silva. Extracção de relações semânticas de textos em português. Linguamática Volume 1, número 5. Julho 2013.
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[publication]Santos, D. and Barreiro, A. and Freitas, C. and Gonçalo Oliveira, H,  and Medeiros, J.C. and Costa, L. and Paulo Gomes and Silva, R. , "Relações semânticas em português: comparando o TeP, o MWN.PT, o Port4NooJ e o PAPEL", in XXV Encontro Nacional da Associação Portuguesa de Linguística. (APL 2009), Lisbon, Portugal, 2010
[citation][year=2014]Ilia Markov (2014). Automatic identification of whole-part relations in portuguese. Master’s thesis, Universidade do Algarve.
[citation][year=2013]Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. Springer. July 2013
[citation][year=2013]Carolina Evaristo Scarton. VerbNet. Br: construção semiautomática de um léxico verbal online e independente de domínio para o português do Brasil. Tese de Mestrado. USP - São Carlos. Março 2013.
[citation][year=2013]Marcelo M. Gomes, Walber A. R. Beltrame, Davidson Cury. Automatic Construction of Brazilian Portuguese WordNet . In Proceedings of X Encontro Nacional de Inteligência Artificial e Computacional (ENIAC). 2013.
[citation][year=2012]Wellington Franco, Thiago Alves, Henrique Viana, João Alcântara. A Description Logic for InferenceNet.Br. In Proceedings of the 10th International Conference on the Processing of the Portuguese Language (PROPOR), Coimbra, Portugal, pp 298-305, Springer, 2012.
[citation][year=2010]Carolina Evaristo Scarton, Sandra Maria Aluisio. Analise da Inteligibilidade de textos via ferramentas de Processamento de Lingua Natural: adaptando as metricas do Coh Metrix para o Portugues. Linguamatica v.2, n.1. 2010.
[citation][year=2010]J. Teixeira, L. Sarmento, and E. Oliveira, ‘Comparing verb synonym re- sources for portuguese’, in Computational Processing of the Portuguese Language, 9th International Conference, Proc. (PROPOR 2010), (2010).

[publication]Freitas, C. and Santos, D. and Gonçalo Oliveira, H,  and Quental, V. , "VARRA: Validação, Avaliação e Revisão de Relações semânticas no AC/DC", in ELC 2010, 2010
[citation][year=2014]Rui Pedro Talhadas dos Santos. Automatic Semantic Role Labeling for European Portuguese. MSc Thesis (Dissertação
Mestrado em Ciências da Linguagem). Universidade do Algarve, Faro 2014.
[citation][year=2013]Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. Springer. July 2013

2009(5 publications)
[publication]Freitas, C. and Santos, D. and Mota, C. and Gonçalo Oliveira, H,  and Carvalho, P. , "Relation detection between named entities: report of a shared task", in SEW-2009 - Semantic Evaluations: Recent Achievements and Future Directions, NAACL-HLT 2009 Workshop, 2009
[citation][year=2020]Khaldi, H., Abdaoui, A., Benamara, F., Sigel, G., and Aussenac-Gilles, N. (2020). Classification de relations pour l’intelligence  ?economique et concurrentielle. In Actes de la 6e conf ?erence conjointe JEP-TALN-RECITAL, Volume 2: Traitement Automatique des Langues Naturelles, pages 27– 39.
[citation][year=2018]Fonseca, E. B. (2018). Resolução de Correferência Nominal Usando Semântica em Língua Portuguesa. PhD thesis, Pontfícia Universidade Católica do Rio Grande do Sul.
[citation][year=2017]Lijun, L. (2017). Process-oriented Knowledge Discovery to Support Product Design Using Text Mining. PhD thesis, National University of Singapore.
[citation][year=2017]Fonseca, E., Sesti, V., Antonitsch, A., Vanin, A., and Vieira, R. (2017). CORP: Uma abordagem baseada em regras e conhecimento semntico para a resoluo de correferncias. Linguamática, 9(1):3–18.
[citation][year=2017]Pires, A. R. O. (2017). Named entity extraction from portuguese web text. MSc thesis, Universidade do Porto.
[citation][year=2017]Shi, F., Chen, L., Han, J., and Childs, P. (2017). Implicit knowledge discovery in design semantic network by applying pythagorean means on shortest path searching. In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME.
[citation][year=2016]Batista, D. S. (2016). Large-Scale Semantic Relationship Extraction for Information Discovery. PhD thesis, Universidade de Lisboa.
[citation][year=2016]Lan, L., Liu, Y., and Lu, W. F. (2016). Discovering a hierarchical design process model using text mining. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pages V01BT02A024–V01BT02A024. American Society of Mechanical Engineers.
[citation][year=2015]de Sousa, H. T. (2015). Caracterização de um corpus jornalístico português. Master’s thesis, Universidade do Porto.
[citation][year=2013]Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. Springer. July 2013
[citation][year=2012]Antonio Paulo Santos, Carlos Ramos, Nuno C. Marques. Extração de Relaçoes em Títulos de Notícias Desportivas. Actas do Inforum 2012, Simpósio de Informática, Lisboa, Portugal.
[citation][year=2010]Daniel Santos, Nuno Mamede and Jorge Baptista: Extraction of Family Relations between Entities. in Proc. of the INFORUM 2010, INFORUM 2010, Braga, Portugal, September 2010
[citation][year=2010]Daniel Tiago de Almeida Santos. "Extracção de Relações entre Entidades". Instituto Superior Técnico, Universidade Técnica de Lisboa 2010.

[publication]Gonçalo Oliveira, H,  and Santos, D. and Paulo Gomes , "Avaliação da extracção de relações semânticas entre palavras portuguesas a partir de um dicionário", in The 7th Brazilian Symposium in Information and Human Language Technology (STIL 2009), São Carlos, Brazil, 2009
[citation][year=2011]Kassius Prestes and Rodrigo Wilkens and Leonardo Zillio and Aline Villavicencio. Extração e Validação de Ontologias a partir de Recursos Digitais. Proceedings of the 6th International Workshop on Metamodels, Ontologies and Semantic Technologies, pp. 183--188. Gramado, Brazil 2011
[citation][year=2010]J. Teixeira, L. Sarmento, and E. Oliveira, ‘Comparing verb synonym re- sources for portuguese’, in Computational Processing of the Portuguese Language, 9th International Conference, Proc. (PROPOR 2010), (2010).

[publication]Gonçalo Oliveira, H,  and Cardoso, N. , "SAHARA: an online service for HAREM Named Entity Recognition Evaluation", in The 7th Brazilian Symposium in Information and Human Language Technology (STIL 2009), São Carlos, Brazil, 2009
[citation][year=2012]Luis Costa, Cristina Mota and Diana Santos. SIGA, a System to Manage Information Retrieval Evaluations. Proceedings of Computational Processing of the Portuguese Language (PROPOR 2012), pp. 284-290, LNCS Volume 7243/2012. 2012

[publication]Gonçalo Oliveira, H,  , "Ontology Learning for Portuguese", in Doctoral Symposium on Artificial Intelligence (SDIA), EPIA 2009 collocated event, Aveiro, Portugal, 2009

[publication]Gonçalo Oliveira, H,  and Santos, D. and Paulo Gomes , "Relations extracted from a Portuguese dictionary: results and first evaluation", in 14th Portuguese Conference on Artificial Intelligence (EPIA 2009), Aveiro, Portugal, 2009
[citation][year=2018]Granada, R., Vieira, R., Trojahn, C., and Aussenac-Gilles, N. (2018). Evaluating the complementarity of taxonomic relation extraction methods across different languages. ArXiv e-prints.
[citation][year=2017]Alexeyevsky, D. (2017). Semi-supervised relation extraction from monolingual dictionary for russian wordnet. In Computational Linguistics and Intelligent Text Processing – 18th Interntional Conference, CICLing 2017, Budapest, Hungary, April 17-23, 2017, Revised Selected Papers, Part I, volume 10761 of LNCS, pages 488–499. Springer.
[citation][year=2015]Granada, R. L. (2015). Evaluation of methods for taxonomic relation extraction from text. PhD thesis, Pontifical Catholic University of Rio Grande do Sul.
[citation][year=2015]de Sousa, H. T. (2015). Caracterização de um corpus jornalístico português. Master’s thesis, Universidade do Porto.
[citation][year=2014]Valeria De Paiva, Livy Real, Alexandre Rademaker and Gerard De Melo. NomLex-PT: A Lexicon of Portuguese Nominalizations. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, ELRA, May 2014.
[citation][year=2010]A Quantitative Approach to Concept Analysis, Rogelio Nazar, PhD thesis, Universitat Pompeu Fabra, 2010
[citation][year=2010]Hernani Pereira Costa. Automatic Extraction and Validation of Lexical Ontologies from text. MSc Thesis. University of Coimbra, 2010

2008(3 publications)
[publication]Gonçalo Oliveira, H,  and Santos, D. and Paulo Gomes and Seco, N. , "PAPEL: a dictionary-based lexical ontology for Portuguese", in PROPOR 2008 - International Conference on Computational Processing of Portuguese, 2008
[citation][year=2017]de Almeida, W. R. (2017). PortService-BR: Uma plataforma para processamento de linguagem natural para língua portuguesa. Master’s thesis, Universidade Federal do Esprito Santo, Vitória.
[citation][year=2016]Reis, S. and Baptista, J. (2016). Let's play wit proverbs? nlp tools and resources for icall applications around proverbs for pf. In Proceedings of the International Congress on Interdisciplinarity in Social and Human Sciences, pages 435–454. Research Centre for Spatial and Organizational Dynamics, University of Algarve.
[citation][year=2015]Livy Real and Fabricio Chalub and Valeria de Paiva and Cláudia Freitas and Alexandre Rademaker (2015). Seeing is correcting: curating lexical resources using social interfaces. In Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and Applications, pages 20–29, Beijing, China. ACL Press.
[citation][year=2015]Simões, A. and Almeida, J. J. (2015). Experiments on enlarging a lexical ontology. In Languages, Applications and Technologies – Revised Selected Papers of 4th International Symposium SLATE 2015, Madrid, Spain, June, CCIS, pages 49–56. Springer.
[citation][year=2015]Markov, I., Mamede, N., and Baptista, J. (2015). A rule-based meronymy extraction module for Portuguese. Computación y Systemas, 19(4):661–683.
[citation][year=2015]Rita Policarpo (2015). Semantic classification of nouns. Master’s thesis, Instituto Superior Técnico.
[citation][year=2015]Marcos Garcia and Pablo Gamallo. Exploring the effectiveness of linguistic knowledge for biographical relation extraction. Natural Language Engineering, Volume 21, Issue 4, pp 519-551. 2015.
[citation][year=2014]Ilia Markov, Nuno Mamede, Jorge Baptista. Body-Part Nouns and Whole-Part Relations in Portuguese. Proceedings of International Conference on the Computational Processing of the Portuguese Language (PROPOR 2014), LNCS, Volume 8775, pp 125-136. Springer, 2014.
[citation][year=2014]Cláudia Freitas, Valeria de Paiva, Alexandre Rademaker, Gerard de Melo, Livy Real, Anne Silva. Extending a Lexicon of Portuguese Nominalizations with Data from Corpora. Proceedings of International Conference on the Computational Processing of the Portuguese Language (PROPOR 2014), LNCS, Volume 8775, pp 114-124. Springer 2014.
[citation][year=2014]Brett Drury, Paula C.F. Cardoso, Janie M. Thomas, Alneu de Andrade Lopes. Lexical Resources for the Identification of Causative Relations in Portuguese Texts. Proceedings of the 1st Workshop on Tools and Resources for Automatically Processing Portuguese and Spanish (ToRPorEsp), pp 56-63. São Carlos, SP, Brasil. 2014
[citation][year=2014]Ilia Markov, Nuno Mamede, Jorge Baptista. Whole-part relations rule-based automatic identification: Issues from fine-grained error analysis. In Proceedings of 13th Mexican International Conference on Artificial Intelligence, Part I, volume 8856 of LNCS, pages 37–50. Springer. 2014.
[citation][year=2014]Ilia Markov (2014). Automatic identification of whole-part relations in portuguese. Master’s thesis, Universidade do Algarve.
[citation][year=2014]Ilia Markov, Nuno Mamede, Jorge Baptista. Automatic Identification of Whole-Part Relations in Portuguese. Proceedings of 3rd Symposium on Languages, Applications and Technologies (SLATE 2014). OASIcs, 2014.
[citation][year=2014]Marcos Garcia (2014). Extracção de Relações Semânticas. Recursos, Ferramentas e Estratégias. PhD thesis, Universidade de Santiago de Compostela.
[citation][year=2013]Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. Springer. July 2013
[citation][year=2013]Carolina Evaristo Scarton. VerbNet. Br: construção semiautomática de um léxico verbal online e independente de domínio para o português do Brasil. Tese de Mestrado. USP - São Carlos. Março 2013.
[citation][year=2012]Jorge O. Santos, Ana O. Alves, Francisco C. Pereira, Pedro H. Abreu. Semantic Enrichment of Places for the Portuguese Language. Actas do Inforum 2012, Simpósio de Informática, Lisboa, Portugal.
[citation][year=2012]Leonardo Zilio, Kassius Prestes, Rodrigo Wilkens, Aline Villavicencio. Geração semi-automática de uma ontologia geral de língua comum. XI Encontro de Linguística de Corpus (ELC), São Carlos, SP, Brasil, 2012.
[citation][year=2011]José Saias and Paulo Quaresma. Semantic networks and spreading activation process for QA improvement on text answers. In Proceedings of the 8th Brazilian Symposium in Information and Human Language Technology - STIL2011, Mato Grosso, Brasil, 2011.
[citation][year=2011]Kassius Prestes and Rodrigo Wilkens and Leonardo Zillio and Aline Villavicencio. Extração e Validação de Ontologias a partir de Recursos Digitais. Proceedings of the 6th International Workshop on Metamodels, Ontologies and Semantic Technologies, pp. 183--188. Gramado, Brazil 2011
[citation][year=2011]Kassius Vargas Prestes. Avaliação de métodos de seleção da resposta em um sistema de perguntas e respostas. Projeto de Diplomação. Universidade Federal do Rio Grande do Sul, Brazil, 2011
[citation][year=2011]Cristiano Jose Lopes Marques. Syntactic REAP.PT. Master thesis. Universidade Técnica de Lisboa 2011
[citation][year=2011]J Saias, Contextualização e Activação Semântica na Selecção de Resultados em Sistemas de Pergunta-Resposta. Tese de doutoramento. Universidade de Évora 2011
[citation][year=2010]Feten Baccar Ben Amar, Bilel Gargouri, Abdelmajid Ben Hamadou: Towards Generation of Domain Ontology from LMF Standardized Dictionaries. Proceedings of the Twenty-Second International Conference on Software Engineering & Knowledge Engineering (SEKE 2010), p. 515-520. 2010.
[citation][year=2010]Carolina Evaristo Scarton, Sandra Maria Aluisio. Análise da Inteligibilidade de textos via ferramentas de Processamento de Lingua Natural: adaptando as métricas do Coh Metrix para o Português. In Linguamatica v.2, n.1, 2010
[citation][year=2010]J. Teixeira, L. Sarmento, and E. Oliveira, ‘Comparing verb synonym resources for Portuguese;, in Computational Processing of the Portuguese Language, 9th International Conference, Proc. (PROPOR 2010), (2010).
[citation][year=2010]Alberto Simões, José João Almeida, and Rita Farinha. Processing and Extracting Data from Dicionário Aberto. In Proceedings of 7th International Conference on Language Resources and Evaluation (LREC), Malta, 2010
[citation][year=2010]Luís Sarmento. Definition and Computation of Similarity Operations between Web-specific Lexical Items. PhD Thesis. Universidade do Porto, 2010.
[citation][year=2010]Hernani Pereira Gomes Costa. Automatic Extraction and Validation of Lexical Ontologies from text. MSc Thesis. University of Coimbra, 2010.
[citation][year=2008]Júlio Flávio Tavares Barbas, "Extracção Automática de Informação e Conhecimento em Textos no Âmbito B2B", Universidade Nova de Lisboa 2008
[citation][year=2008]Liliana Ferreira & António Teixeira, "Linguateca e Processamento de Linguagem Natural na Área da Saúde: Alguns Comentários e Sugestões". In Luís Costa, Diana Santos & Nuno Cardoso (eds.), Perspectivas sobre a Linguateca / Actas do encontro Linguateca : 10 anos. Linguateca, 2008, pp. 43-48.

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[citation][year=2012]KILGARRIFF, Adam, Jan POMIKÁLEK, Miloš JAKUBÍ?EK and Pete WHITELOCK. Setting up for corpus lexicography. Proceedings of the 15th EURALEX International Congress. Oslo, Norway: Department of Linguistics and Scandinavian Studies, University of Oslo, 2012. p. 606-612.
[citation][year=2012]Nuno Cardoso. "Rembrandt - a named-entity recognition framework". Proceedings of 8th International Conference on Language Resources and Evaluation, Istambul, Turkey, May, 2012.
[citation][year=2012]Edimar Manica, Carina F. Dorneles and Renata Galante . "Handling Temporal Information in Web Search Engines". SIGMOD Record volume 41, number 3, pp. 15-23. September 2012.
[citation][year=2011]Heraldo José Araújo Carneiro Filho. "Coppeter – Reconhecimento e Normalização de Expressões Temporais em Português". COPPE-UFRJ, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa em Engenharia. Rio de Janeiro 2011.
[citation][year=2010]Cardoso, N. and Silva, M. J. 2010. A GIR architecture with semantic-flavored query reformulation. In Proceedings of the 6th Workshop on Geographic information Retrieval (Zurich, Switzerland, February 18 - 19, 2010). GIR \\\'10. ACM, New York, NY, 1-7
[citation][year=2010]Nuno Cardoso, Mário J. Silva. "Experiments with Semantic-flavored Query Reformulation of Geo-Temporal Queries". In Working Notes of the 8th NTCIR Workshop -- Evaluation of Information Access Technologies: Information Retrieval, Question Answering, and and Cross-Lingual Information Access. Tokyo, Japan, 2010.
[citation][year=2009]Nuno Cardoso, Patrícia Sousa and Mário J. Silva. "Experiments with Geographic Evidence Extracted from Documents". In Evaluating Systems for Multilingual and multimodal information access, LNCS 5706/2009, pp. 885-893. Springer 2009.
[citation][year=2008]Nuno Cardoso "Novos rumos para a recuperação de informação geográfica em português". In Luís Costa, Diana Santos & Nuno Cardoso (eds.), Perspectivas sobre a Linguateca / Actas do encontro Linguateca : 10 anos. Linguateca, 2008, pp. 71-85
[citation][year=2008]Nuno Cardoso, Patrícia Sousa & Mário J. Silva. "The University of Lisbon at GeoCLEF 2008". In Francesca Borri, Alessandro Nardi & Carol Peters (eds.), Cross Language Evaluation Forum: Working Notes for the CLEF 2008 Workshop   (Aarhus, Denmark, 17-19 de Setembro de 2008), s/pp.

[publication]Gonçalo Oliveira, H,  and Santos, D. and Paulo Gomes and Seco, N. , "PAPEL: a lexical ontology for Portuguese", in Workshop on Language Resources for Teaching and Research, 2008
[citation][year=2012]Wellington Franco, Thiago Alves, Henrique Viana, João Alcântara. A Description Logic for InferenceNet.Br. In Proceedings of the 10th International Conference on the Processing of the Portuguese Language (PROPOR), Coimbra, Portugal, pp 298-305, Springer, 2012.

2007(2 publications)
[publication]Gonçalo Oliveira, H,  and Amilcar Cardoso and Pereira, F.C. , "Tra-la-Lyrics: An approach to generate text based on rhythm", in Fourth joint workshop on Computational Creativity (IJWCC'07), London, UK, 2007
[citation][year=2020]Ferreira, M. C. (2020). A human touch in computer-generated literature. In Gouveia, S. S., editor, The Age of Artificial Intelligence: An Exploration, chapter 11, pages 193–210. Vernon Press.
[citation][year=2019]Toivanen, J. M., Jarvisalo, M., Alm, O., Ventura, D., Vainio, M., and Toivonen, H. (2019). Towards transformational creation of novel songs. Connection Science, 31(1):4–32.
[citation][year=2018]Feng, W. (2018). Multi-objective optimization algorithm for multimedia english teaching (MOAMET) based on computer network traffic prediction model. International Journal of Emerging Technologies in Learning (iJET), 13(03):58–70.
[citation][year=2018]Pan, L. (2018). Automatic generation of children’s songs based on machine statistic learning. International Journal of Emerging Technologies in Learning (iJET), 13(03):17–31.
[citation][year=2018]Pan, Z., Zhang, S., and Guo, Y. (2018). EasyCouplet: Automatic Generation of Chinese Traditional Couplets, volume 10790 of LNCS, pages 117–132. Springer.
[citation][year=2018]Watanabe, K., Matsubayashi, Y., Inui, K., Fukayama, S., Nakano, T., and Goto, M. (2018). Modeling storylines in lyrics. IEICE TRANSACTIONS on Information and Systems, E101- D(4):1167–1179.
[citation][year=2018]Watanabe, K., Matsubayashi, Y., Fukayama, S., Goto, M., Inui, K., and Nakano, T. (2018). A melody-conditioned lyrics language model. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Vol- ume 1 (Long Papers), pages 163–172. ACL Press.
[citation][year=2018]Sridhar, R., Venkatsubhramaniyen, S., and Rashmi, S. S. (2018). Automatic singable tamil lyric generation for a situation and tune based on causal effect. In 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018, Bangalore, India, September 19-22, 2018, pages 1152–1159.
[citation][year=2017]Bay, B., Bodily, P., and Ventura, D. (2017). Creative text transformation via constraints and word embedding. In Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017, Atlanta, Georgia, USA.
[citation][year=2017]Watanabe, K., Matsubayashi, Y., Inui, K., Nakano, T., Fukayama, S., and Goto, M. (2017). Lyrisys: An interactive support system for writing lyrics based on topic transition. In Proceedings of the 22nd International Conference on Intelligent User Interfaces, IUI ’17, pages 559–563, New York, NY, USA. ACM.
[citation][year=2016]Toivanen, J. M. (2016). Methods and Models in Linguistic and Musical Computational Creativity. PhD thesis, University of Helsinki.
[citation][year=2015]L. L. Liu and Y. Feng (2015). Melody composing algorithm for lyrics with meta- structures for melodic pieces. In Proceedings of the International Conference EITI 2014, Shenzhen, 16-17 August 2014, pages 123—126.
[citation][year=2014]Sameerchand Pudaruth, Sandiana Amourdon, Joey Anseline. Automated Generation of Song Lyrics using CFGs. Seventh International Conference on Contemporary Computing (IC3), pp. 613 - 616, Noida, India. 2014.
[citation][year=2014]Bolock, A. E. (2014). Automatic poetry generation using chr. Master’s thesis, German University in Cairo.
[citation][year=2013]Anna Katerina Jordanous. Evaluating Computational Creativity: A Standardised Procedure for Evaluating Creative Systems and its Application. PhD thesis (submitted December 2012). University of Sussex.
[citation][year=2013]Shen, Hung-Che. Lyrical Generation for a MIDI-to-Singing System. Advanced Science Letters, Volume 19, Number 7, July 2013 , pp. 1852-1856(5).  American Scientific Publishers. 2013.
[citation][year=2013]Gabriele Barbieri. Markov Constraints for generating texts with style. PhD thesis, Universita di Bologna. 2013.
[citation][year=2012]Fan, Sz Yue. Lyrics Form Analysis for Chinese Pop Music with Application to Structure Alignment between Lyrics and Melody. Dissertation thesis. National Chengchi University. 2012.
[citation][year=2012]Chihiro Abe and Akinori Ito. A Japanese Lyrics Writing Support System for Amateur Songwriters. Proceedings of 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA 2012). Hollywood, CA, USA. 2012.
[citation][year=2012]Ahmad T. Al-Taani, Sallam Abualhaija, Susanne Ramadan and Izza Abuhaija. Poetry expert system. 
Proceedings of the 3rd International Conference on Information and Communication Systems (ICICS '12). ACM New York, NY, USA, 2012
[citation][year=2012]Barbieri, G., Pachet, F., Roy, P. Degli Esposti, M. Markov Constraints for Generating Lyrics with Style. Proceedings of the 20th European Conference on Artificial Intelligence (ECAI 2012), Montpellier, France. IOS Press, 2012
[citation][year=2012]Bibi Feenaz Bhaukaurally, Mohammad Haydar Ally Didorally, Sameerchand Pudaruth. A Semi-Automated Lyrics Generation Tool for Mauritian Sega. IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 1, No. 4, Dec 2012, pp. 201~213 ISSN: 2252-8938.  IAES 2012.
[citation][year=2012]Abe, C. and Akinori, I. (2012). The introduction of the word accent in a lyrics auxiliary system using a statistical language model. In Proceedings of 74th National Convention of the Information Processing Society, pages 383–385. Information Processing Society of Japan (IPSJ).
[citation][year=2011]Yao Qian, Frank Soong. Synthesized singing voice waveform generator. US Patent US7977562 B2. Presented in 20 Jun 2008, published 12 Jul 2011.
[citation][year=2010]B. Settles, 2010. Computational Creativity Tools for Songwriters. In Proceedings of the NAACL-HLT Workshop on Computational Approaches to Linguistic Creativity (CALC), Los Angeles, California
Pages 49-57
[citation][year=2009]Ananth Ramakrishnan A., Sankar Kuppan and Sobha Lalitha Devi. Automatic Generation of Tamil Lyrics for Melodies. Computational Approaches to Linguistic Creativity. NAACL HLT 2009
[citation][year=2009]Nakamura, C. and Onisawa, T. 2009. Music/lyrics composition system considering user's image and music genre. In Proceedings of the 2009 IEEE international Conference on Systems, Man and Cybernetics (San Antonio, TX, USA, October 11 - 14, 2009). IEEE Press, Piscataway, NJ, 1764-1769. 
[citation][year=2009]Eric Nichols, Dan Morris, Sumit Basu, Chris Raphael. Relationships Between Lyrics and Melody in Popular Music. Proceedings of ISMIR 2009, October 2009
[citation][year=2009]Uta Lösch, Julie Dugdale, Yves Demazeau: Requirements for Supporting Individual Human Creativity in the Design Domain. In Proceedings of 8th International Conference on Entertain- ment Computing (ICEC), LNCS, pages 210–215, Paris, France. Springer.
[citation][year=2009]F. Khosmood and R. Levinson. Toward automated stylistic transformation of natural language text. In Proceedings of 21st Joint International Conference of the Association for Literary and Linguistic Computing & 2nd Joint International Conference of the Association for Literary and Linguistic Computing. Association for Computers and Humanities, and the Society for Digital Humanities, Digital Humanities 2009. University of Maryland, College Park.
[citation][year=2009]Ricardo da Silva Souza. "Criatividade: Uma Visão Geral". 2o. Seminário Interno de Cognição Artificial - SICA 2009. UniCamp, Campinas, São Paulo, Brasil.
[citation][year=2008]Foaad Khosmood and Robert Levinson. Automatic natural language style classification and transformation. In BCS Corpus Profiling Workshop 2008.

[publication]Gonçalo Oliveira, H,  and Amilcar Cardoso and Pereira, F.C. , "Exploring different strategies for the automatic generation of song lyrics with Tra-la-Lyrics", in 13th Portuguese Conference on Artificial Intelligence (EPIA 2007), Guimarães, Portugal, 2007
[citation][year=2018]Davies, C., Wiratunga, N., and Martin, K. (2018). Gramerror: A quality metric for machine generated songs. In Proceedings of 38th SGAI International Conference on Artificial Intelligence, volume 11311 of Lecture Notes in Computer Science, pages 184–190. Springer.
[citation][year=2018]Loller-Andersen, M. and Gambäck, B. (2018). Deep learning-based po- etry generation given visual input. In Proceedings of 9th International Conference on Computational Creativity, pages 240–247, Salamanca, Spain. ACC.
[citation][year=2017]Wu, X., Du, Z., Zhong, M., Dai, S., and Liu, Y. (2017). Chinese lyrics generation using Long Short-Term Memory Neural Network. In Advances in Artificial Intelligence: From Theory to Practice, IEA/AIE 2017, volume 10351 o
[citation][year=2017]Loller-Andersen, M. (2017). Computational linguistic creativity: Poetry generation given visual input. Master’s thesis, Norwegian University of Science and Technology (NTU).
[citation][year=2014]Alfenas, D. A., Shibata, D. P., Neto, J. J., and Pereira-Barretto, M. R. (2014). Adaptive markov systems: Formulation and framework. Latin America Transactions IEEE, 12(7):1271–1277.
[citation][year=2014]Bolock, A. E. (2014). Automatic poetry generation using chr. Master’s thesis, German University in Cairo.
[citation][year=2012]Bibi Feenaz Bhaukaurally, Mohammad Haydar Ally Didorally, Sameerchand Pudaruth. A Semi-Automated Lyrics Generation Tool for Mauritian Sega. IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 1, No. 4, Dec 2012, pp. 201~213 ISSN: 2252-8938.  IAES 2012.
[citation][year=2009]Ananth Ramakrishnan A., Sankar Kuppan and Sobha Lalitha Devi. Automatic Generation of Tamil Lyrics for Melodies. Computational Approaches to Linguistic Creativity. NAACL HLT 2009

Edited Books
2020(1 publication)
[publication]Gonçalo Oliveira, H,  and Real, L. and Fonseca, E. , "Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese",  vol. 2583, 2020

2019(1 publication)
[publication]Ricardo Rodrigues and Janousek, J. and Ferreira, L. and Coheur, L. and Batista, F. and Gonçalo Oliveira, H,  , "Proceedings of 8th Symposium on Languages, Applications and Technologies, SLATE 2019, June 27-28, 2019, Coimbra, Portugal",  vol. 74, 2019

2018(2 publications)
[publication]Gonçalo Oliveira, H,  and Burtenshaw, B. and Hervás, R. , "Proceedings of the 3rd Workshop on Computational Creativity in Natural Language Generation",  vol. 1, 2018

[publication]Villavicencio, A. and Moreira, V. and Abad, A. and Caseli, H.d.M. and Gamallo, P. and Ramisch, C. and Gonçalo Oliveira, H,  and Paetzold, G.H. , "Computational Processing of the Portuguese Language - 13th International Conference, {PROPOR} 2018, Canela, Brazil, September 24-26, 2018, Proceedings",  vol. 11122, 2018

2017(1 publication)
[publication]Gonçalo Oliveira, H,  and Burtenshaw, B. and Kestemont, M. and Smedt, T.D. , "Proceedings of the Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2017)",  vol. 1, 2017

2016(1 publication)
[publication]Mernik, M. and Leal, J.P. and Gonçalo Oliveira, H,  ,  vol. 51, 2016

2015(1 publication)
[publication]Alegria, I. and Aranberri, N. and España-Bonet, C. and Gamallo, P. and Garcia, E.M. and Gonçalo Oliveira, H,  and Vicente, I.S. and Toral, A. and Zubiaga, A. ,  vol. 1445, 2015

Book Chapters
2015(1 publication)
[publication]Gonçalo Oliveira, H,  and Amilcar Cardoso , "Poetry generation with PoeTryMe", in Computational Creativity Research: Towards Creative Machines,  vol. 7,  pp. 243-266, 2015
[citation][year=2020]Moreno-Jiménez, L.-G., Torres-Moreno, J.-M., and Wedemann, R. S. (2020). Generación automática de frases literarias en Español. arXiv preprint. https://arxiv.org/abs/2001.11381
[citation][year=2020]Moreno, L., Torres-Moreno, J.-M., and Wedemann, R. S. (2020). Literary natural language generation with psychological traits. In Proceedings of 25th International Conference on Applications of Natural Language to Information Systems (NLDB 2020), LNCS. Springer.
[citation][year=2017]Astigarraga, A., Martínez-Otzeta, J. M., Rodriguez, I., Sierra, B., and Lazkano, E. (2017). Markov text generator for Basque poetry. In Proceedings of 20th International Conference on Text, Speech, and Dialogue, TSD 2017, volume 10415 of LNCS, pages 228–236. Springer.
[citation][year=2017]Astigarraga, A., Martnez-Otzeta, J. M., Rodriguez, I., Sierra, B., and Lazkano, E. (2017). Emotional poetry generation. In Proceedings of 19th International Conference on Speech and Computer, SPECOM 2017, Hatfield, UK, volume 10458 of LNCS. Springer, Cham.
[citation][year=2017]Astigarraga, A., María Martínez-Otzeta, J., Rodriguez Rodriguez, I., Sierra, B., and Lazkano, E. (2017). Poet’s little helper: A methodology for computer-based poetry generation. a case study for the basque language. In Proceedings of the Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2017), pages 2–10, Santiago de Compostela, Spain. Association for Computational Linguistics.
[citation][year=2017]Dolgaleva, I. I., Gorshkov, I. A., and Yavorskiy, R. E. (2017). Narrabat – a prototype service for stylish news retelling. Proceedings of the Institute for System Programming of the RAS, 29(4):325–336.
[citation][year=2016]Graefe, A., Haim, M., Haarmann, B., and Brosius, H.-B. (2016). Readers perception of computer-generated news: Credibility, expertise, and readability. Journalism. (published online on April 2016).
[citation][year=2016]Zaidan, T. and Goes, L. F. W. (2016). Evolvestone: An evolutionary generator of balanced digital collectible card games. In Proceedings of XV Simpósio Brasileiro de Jogos e Entretimento Digital, SBGames, pages 11–17, São Paulo, SP, Brazil.
[citation][year=2015]Graefe, A., Haim, M., Haarmann, B., and Brosius, H.-B. (2015). Perception of automated computer-generated news: Credibility, expertise, and readability. In 11th Dubrovnik Media Conference Days: Artificial Intelligence, Robots, and Media, Dubrovnik, Croatia.

2008(6 publications)
[publication]Carvalho, P. and Gonçalo Oliveira, H,  and Mota, C. and Santos, D. and Freitas, C. , "Segundo HAREM: Modelo geral, novidades e avaliação", in Desafios na avaliação conjunta do reconhecimento de entidades mencionadas: O Segundo HAREM,  vol. 1,  pp. 11-31, 2008
[citation][year=2020]Collovini, S., Gonçalves, P. N., Cavalheiro, G., Santos, J., and Vieira, R. (2020). Relation extraction for competitive intelligence. In Computational Processing of the Portuguese Language - 14th International Conference, PROPOR 2020, Evora, Portugal, March 2-4, 2020, Proceedings, volume 12037 of LNCS, pages 249–258. Springer.
[citation][year=2019]Collovini, S., Santos, J., Consoli, B., Terra, J., Vieira, R., Quaresma, P., Souza, M., Claro, D. B., and Glauber, R. (2019). IberLEF 2019 Portuguese Named Entity Recognition and Relation Extraction tasks. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019), co-located with 35th Conference of the Spanish Society for Natural Language Processing (SEPLN 2019), CEUR Workshop Proceedings, pages 390–410, Bilbao, Spain. CEUR-WS.org.
[citation][year=2017]Drury, B., Fernandes, R., and de Andrade Lopes, A. (2017). BrAgriNews: Um corpus temporal-causal (português-brasileiro) para a agricultura. Linguamática 9(1):41–54.
[citation][year=2017]Collovini de Abreu, S. and Vieira, R. (2017). RelP: Portuguese open relation extraction. KO Knowledge Organization, 44(3):163–177.
[citation][year=2016]Collovini, S., Machado, G., and Vieira, R. (2016). Extracting and structuring open relations from Portuguese text. In Proceedings of 12th International Conference on Computational Processing of the Portuguese Language (PROPOR 2016), volume 9727 of LNAI, pages 153–164, Tomar, Portugal. Springer.
[citation][year=2016]Mamede, N., Baptista, J., and Dias, F. (2016). Automated anonymization of text documents. In IEEE Congress on Evolutionary Computation (CEC), pages 1287–1294. IEEE.
[citation][year=2015]Weber, C. (2015). Construção de um corpus anotado para classificação de entidades nomeadas utilizando a Wikipedia e a DBpedia. Master’s thesis, Pontifcia Universidade Católica do Rio Grande do Sul.
[citation][year=2014]Daniela O. F. do Amaral, Evandro Fonseca, Lucelene Lopes, Renata Vieira. Comparing NERP-CRF with Publicly Available Portuguese Named Entities Recognition Tools. Proceedings of International Conference on the Computational Processing of the Portuguese Language (PROPOR 2014), LNCS, Volume 8775, pp 244-249. Springer, 2014.
[citation][year=2014]SANDRA COLLOVINI DE ABREU. Extração de Relações do Domínio de Organizações para o Português. Tese de Doutorado. Pontífica Universidade Católica do Rio Grande do Sul. 2014.
[citation][year=2013]Lucas Pugens Fernandes and Renata Vieira. O Reconhecimento De Entidades Nomeadas por meio de
Conditional Random Fields. XIII Salão de Iniciação Científica PUCRS. 2013
[citation][year=2013]Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. Springer. July 2013
[citation][year=2011]Fernando Zatt Grando, Renata Vieira. Alinhamento de Anotações para Tarefas de Reconhecimento de Entidades Nomeadas. Seminário Interno de Avaliação da Iniciação Científica – PUCRS, 2011.
[citation][year=2010]Diogo Correia de Oliveira. Extraction and Classification of Named Entities. MSc Thesis, Instituto Superior Técnico. 2010.

[publication]Mota, C. and Freitas, C. and Carvalho, P. and Gonçalo Oliveira, H,  and Santos, D. , "É tempo de avaliar o TEMPO", in Desafios na avaliação conjunta do reconhecimento de entidades mencionadas: O Segundo HAREM,  vol. 1,  pp. 55-75, 2008

[publication]Freitas, C. and Santos, D. and Gonçalo Oliveira, H,  and Carvalho, P. and Mota, C. , "Relações semânticas do ReRelEM: além das entidades no Segundo HAREM", in Desafios na avaliação conjunta do reconhecimento de entidades mencionadas: O Segundo HAREM,  vol. 1,  pp. 77-96, 2008
[citation][year=2017]Collovini de Abreu, S. and Vieira, R. (2017). RelP: Portuguese open relation extraction. KO Knowledge Organization, 44(3):163–177.
[citation][year=2014]Sandra Collovini and Lucas Pugens and Aline A. Vanin and Renata Vieira (2014). Extraction of rela- tion descriptors for portuguese using conditional random fields. In Proceedings of 14th Ibero-American Conference on AI, IBERAMIA 2014, pages 108–119, Santiago de Chile, Chile. Springer.
[citation][year=2014]SANDRA COLLOVINI DE ABREU. Extração de Relações do Domínio de Organizações para o Português. Tese de Doutorado. Pontífica Universidade Católica do Rio Grande do Sul. 2014.
[citation][year=2013]Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. Springer. July 2013.
[citation][year=2013]David S. Batista, David Forte, Rui Silva, Bruno Martins e Mario J. Silva. Extracção de relações semânticas de textos em português. Linguamática Volume 1, número 5. pp 41-57, Julho 2013.

[publication]Gonçalo Oliveira, H,  and Mota, C. and Freitas, C. and Santos, D. and Carvalho, P. , "Avaliação à medida no Segundo HAREM", in Desafios na avaliação conjunta do reconhecimento de entidades mencionadas: O Segundo HAREM,  vol. 1,  pp. 97-129, 2008
[citation][year=2017]Pires, A. R. O. (2017). Named entity extraction from portuguese web text. MSc thesis, Universidade do Porto.
[citation][year=2010]Diogo Correia de Oliveira. Extraction and Classification of Named Entities. MSc Thesis, Instituto Superior Técnico. 2010.

[publication]Santos, D. and Freitas, C. and Gonçalo Oliveira, H,  and Carvalho, P. and Mota, C. , "Segundo HAREM: Balanço e perspectivas de futuro", in Desafios na avaliação conjunta do reconhecimento de entidades mencionadas: O Segundo HAREM,  vol. 1,  pp. 131-146, 2008

[publication]Carvalho, P. and Gonçalo Oliveira, H,  , "Manual do Etiquet(H)AREM", in Desafios na avaliação conjunta do reconhecimento de entidades mencionadas: O Segundo HAREM,  vol. 1,  pp. 339-346, 2008
[citation][year=2015]Souza, M. A. S., de Freitas, M. C., and das Gracas Dias Pereira, M. (2015). O léxico do trânsito do Rio de Janeiro: estudo da anotação de um corpus de reportagens aéreas do rádio. Calidoscopio, 13(3):416–423.

PhD Theses
2013(1 publication)
[publication]Gonçalo Oliveira, H,  , "Onto.PT: Towards the Automatic Construction of a Lexical Ontology for Portuguese", 2013
[citation][year=2018]Granada, R., Vieira, R., Trojahn, C., and Aussenac-Gilles, N. (2018). Evaluating the complementarity of taxonomic relation extraction methods across different languages. ArXiv e-prints.
[citation][year=2018]Fonseca, E., Vanin, A., and Vieira, R. (2018). Mention clustering to improve por- tuguese semantic coreference resolution. In Proceedings of International Conference on Applications of Natural Language to Information Systems (NLDB 2018), volume 10859 of LNCS. Springer, Cham.
[citation][year=2018]Simões, A. and Guinovart, X. G. (2018). Extending the Galician Wordnet Using a Multilingual Bible Through Lexical Alignment and Semantic Annotation. In 7th Symposium on Languages, Applications and Technologies (SLATE 2018), volume 62 of OASIcs, pages 14:1–14:13, Dagstuhl, Germany. Schloss Dagstuhl.
[citation][year=2018]Fonseca, E. B. (2018). Resolução de Correferência Nominal Usando Semântica em Língua Portuguesa. PhD thesis, Pontfícia Universidade Católica do Rio Grande do Sul.
[citation][year=2017]Fonseca, E., Sesti, V., Antonitsch, A., Vanin, A., and Vieira, R. (2017). CORP: Uma abordagem baseada em regras e conhecimento semntico para a resoluo de correferncias. Linguamática, 9(1):3–18.
[citation][year=2017]SCHIESSL, Marcelo, & BRÄSCHER, Marisa. (2017). Ontology lexicalization: Relationship between content and meaning in the context of Information Retrieval. Transinformação, 29(1), 57-72. https://dx.doi.org/10.1590/2318-08892017000100006
[citation][year=2017]Fonseca, E., Sesti, V., Collovini, S., Vieira, R., Leal, A. L., and Quaresma, P. (2017). Collective elaboration of a coreference annotated corpus for Portuguese texts. In Proceedings of Evaluation of Human Language Technologies for Iberian Languages, IberEval 2017.
[citation][year=2016]Simões, A., Guinovart, X. G., and Almeida, J. J. (2016). Enriching a portuguese word- net using synonyms from a monolingual dictionary. In Proceedings of 10th International Conference on Language Resources and Evaluation (LREC 2016), Portorož, Slovenia. ELRA.
[citation][year=2015]Rodrigues, R. and Gomes, P. (2015). RAPPORT - A portuguese question- answering system. In Proceedings of the 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, volume 9273 of LNCS, pages 771–782, Coimbra, Portugal. Springer.
[citation][year=2015]Granada, R. L. (2015). Evaluation of methods for taxonomic relation extraction from text. PhD thesis, Pontifical Catholic University of Rio Grande do Sul.
[citation][year=2015]Markov, I., Mamede, N., and Baptista, J. (2015). A rule-based meronymy extraction module for Portuguese. Computación y Systemas, 19(4):661–683.
[citation][year=2014]Brett Drury, Alneu de Andrade Lopes. A comparison of the effect of feature selection and balancing strategies upon the sentiment classification of Portuguese News Stories. XI Encontro Nacional de Inteligência Artificial e Computacional (ENIAC). São Carlos, SP, Brazil. 2014.
[citation][year=2014]Ilia Markov, Nuno Mamede, Jorge Baptista. Body-Part Nouns and Whole-Part Relations in Portuguese. Proceedings of International Conference on the Computational Processing of the Portuguese Language (PROPOR 2014), LNCS, Volume 8775, pp 125-136. Springer, 2014.
[citation][year=2014]Ilia Markov, Nuno Mamede, Jorge Baptista. Whole-part relations rule-based automatic identification: Issues from fine-grained error analysis. In Proceedings of 13th Mexican International Conference on Artificial Intelligence, Part I, volume 8856 of LNCS, pages 37–50. Springer. 2014.
[citation][year=2014]Xavier Gómez Guinovar and Miguel Anxo Solla Portela (2014). O dicionario de sinónimos como recurso para a expansión de wordnet. Linguamática, 6(2):69–74
[citation][year=2014]Rademaker, A., Paiva, V. D., de Melo, G., Coelho, L. M. R., and Gatti, M. (2014). OpenWordnet-PT: A project report. In Proceedings of the 7th Global WordNet Conference, GWC’14, Tartu, Estonia.
[citation][year=2014]Ilia Markov (2014). Automatic identification of whole-part relations in portuguese. Master’s thesis, Universidade do Algarve.
[citation][year=2014]Ilia Markov, Nuno Mamede, Jorge Baptista. Automatic Identification of Whole-Part Relations in Portuguese. Proceedings of 3rd Symposium on Languages, Applications and Technologies (SLATE 2014). OASIcs, 2014.
[citation][year=2014]Gonçalo André Rodrigues Suissas (2014). Verb sense classification. Master’s thesis, Instituto Superior Técnico.

MSc Theses
2007(1 publication)
[publication]Gonçalo Oliveira, H,  , "Geração de texto com base em ritmo", 2007
[citation][year=2016]Abel, F. A. (2016). Análise textual automática: Apreensibilidade e qualidade da informação na Área da saúde. BSc Thesis, Universidade de Caxias do Sul, Brasil.
[citation][year=2016]Becker, N. and de Salles, J. F. (2016). Methodological criteria for scoring clustering and switching in verbal fluency tasks. Psico-USF, 21(3):445–457.

Tech Report
2014(1 publication)
[publication]Xiao, P. and Battersby, S. and Bohanec, M. and Amilcar Cardoso and Correia, J. and Forth, J. and Gervás, P. and Gross, O. and Hervás, R. and Lavrac, N. and Penousal Machado and Gonçalo Oliveira, H,  and A. M. Pinto and Rahul Sharma and Urbancic, T. and Velde, F.v.d. and Wiggins, G. and Znidarsic, M. and Toivonen, H. , "Review of Conceptual Representations, ConCreTe-D2.1", 2014

2010(1 publication)
[publication]Costa, Hernani and Gonçalo Oliveira, H,  and Paulo Gomes , "Quantifying Relational Triples", 2010

2009(2 publications)
[publication]Gonçalo Oliveira, H,  , "Automatic Generation of Poetry: an overview", 2009
[citation][year=2020]Panayiotou, C. (2020). An ontological analysis and natural language processing of figures of speech. International Journal of Artificial Intelligence and Applications (IJAIA), 11(1).
[citation][year=2020]Bena, B. and Kalita, J. (2020). Introducing aspects of creativity in automatic poetry generation. https://arxiv.org/abs/2002.02511.
[citation][year=2020]Liu, Y., Liu, D., Lv, J., and Sang, Y. (2020). Generating chinese poetry from images via concrete and abstract information. https://arxiv.org/abs/2003.10773.
[citation][year=2020]Kobis, Nils and Mossink, Luca, (2020), Creative Artificial Intelligence -- Algorithms vs. humans in an incentivized writing competition, Papers, arXiv.org, https://arxiv.org/abs/2005.09980
[citation][year=2020]Lampridis, O., Kefalas, A., and Tzallas, P. (2020). Greek lyrics generation. Artificial Intelligence Applications and Innovations, 584:445 – 454.
[citation][year=2020]Miyano, T. and Saito, H. (2020). Rap lyrics generation using vowel GAN. In Proceedings of 16th International Conference of the Pacific Association for Computational Linguistics (PACLING 2019), volume 1215 of CCIS, pages 307–318. Springer, Singapore.
[citation][year=2020]Kobis, N. and Mossink, L. D. (2020). Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry. Computers in Human Behavior, page 106553.
[citation][year=2019]Lamar, A. K. and Chambers, A. (2019). Generating homeric poetry with deep neural networks. In Proceedings of the 1st International Transdiscplinary A. I. Conference.
[citation][year=2019]Kupeev, D. (2019). Alteregonets: a way to human augmentation. ArXiv e-prints.
[citation][year=2019]Wolk, K., Zawadzka-Gosk, E., and Czarnowski, W. (2019). Deep learning and sub-word-unit approach in written art generation. ArXiv e-prints.
[citation][year=2019]Panayiotou, C. (2019). An ontological approach to the extraction of figures of speech. In Proceedings of 5th International Conference on Computer Science and Information Technology. Dubai.
[citation][year=2018]Xu, L., Jiang, L., Qin, C., Wang, Z., and Du, D. (2018). How images inspire poems: Generating classical chinese poetry from images with memory networks. In Proceedings of 32nd AAAI Conference on Artificial Intelligence. AAAI Press.
[citation][year=2018]Ghazvininejad, M. (2018). Neural Creative Language Generation. PhD thesis, University of Southern California.
[citation][year=2018]Liu, B., Fu, J., Kato, M. P., and Yoshikawa, M. (2018). Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training. ArXiv e-prints.
[citation][year=2018]Davies, C., Wiratunga, N., and Martin, K. (2018). Gramerror: A quality metric for machine generated songs. In Proceedings of 38th SGAI International Conference on Artificial Intelligence, volume 11311 of Lecture Notes in Computer Science, pages 184–190. Springer.
[citation][year=2018]Wang, K., Tian, J., Gao, R., and Yao, C. (2018). The machine poetry generator imitating Du Fu’s styles. In 2018 International Conference on Artificial Intelligence and Big Data (ICAIBD), pages 261–265.
[citation][year=2018]Wei, J., Zhou, Q., and Cai, Y. (2018). Poet-based poetry generation: Controlling personal style with recurrent neural networks. In Proceedings of 2018 International Conference on Computing, Networking and Communications, ICNC, pages 156–160.
[citation][year=2017]Ghazvininejad, M., Shi, X., Priyadarshi, J., and Knight, K. (2017). Hafez: an interactive poetry generation system. In Proceedings of ACL-2017 System Demonstrations, Vancouver, Canada. ACL Press.
[citation][year=2017]Davis, N. M. (2017). Creative Sense-Making: a Cognitive Framework for Quantifying Interac- tion Dynamics in Co-Creation. PhD thesis, Georgia Institute of Technology.
[citation][year=2017]Chekanov, K., Mamoshina, P., Yampolskiy, R. V., Timofte, R., Scheibye-Knudsen, M., and Zhavoronkov, A. (2017). Evaluating race and sex diversity in the world’s largest companies using deep neural networks. ArXiv e-prints.
[citation][year=2017]Loller-Andersen, M. (2017). Computational linguistic creativity: Poetry generation given visual input. Master’s thesis, Norwegian University of Science and Technology (NTU).
[citation][year=2016]de Mooij, J. (2016). Evopoem: Context free grammars for automated poetry generation. BSc thesis, Utrecht University.
[citation][year=2016]Rodriguez, I., Astigarraga, A., Ruiz, T., and Lazkano, E. (2016). Singing minstrel robots, a means for improving social behaviors. In Proceedings of IEEE International Conference on Robotics and Automation (ICRA), pages 2902–2907.
[citation][year=2016]Wang, Q., Luo, T., Wang, D., and Xing, C. (2016). Chinese song iambics generation with neural attention-based model. In Proceedings of the 25th International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA. AAAI Press.
[citation][year=2016]Wang, Q., Luo, T., and Wang, D. (2016). Can machine generate traditional Chinese poetry? a feigenbaum test. In Proceedings of International Conference on Brain Inspired Cognitive Systems. BICS 2016., volume 10023 of LNCS. Springer.
[citation][year=2016]Sen, U. (2016). Automatic poetry generation in turkish. Technical report, Istambul Bilgi University.
[citation][year=2016]Williams, H. and McOwan, P. W. (2016). Manufacturing magic and compu- tational creativity. Frontiers in Psychology.
[citation][year=2016]Wang, Z., He, W., Wu, H., Wu, H., Li, W., Wang, H., and Chen, E. (2016). Chinese poetry generation with planning based neural network. CoRR, abs/1610.09889.
[citation][year=2016]Yan, R. (2016). i, poet: Automatic poetry composition through recurrent neural networks with iterative polishing schema. In Proceedings of 25th International Joint Conference on Artificial Intelligence, IJCAI-16, New York, NY, USA. AAAI Press.
[citation][year=2016]Hopkins, J. (2016). Automatically generating rhythmic verse with neural networks. Master’s thesis, University of Cambridge.
[citation][year=2016]Yan, R., Li, C.-T., Hu, X., and Zhang, M. (2016). Chinese couplet generation with neural network structures. In Proceedings of 54th Annual Meeting of the Association for Computational Linguistics, Vol 1: Long Papers, ACL 2016, pages 2347–2357, Berlin, Germany. ACL Press.
[citation][year=2016]Ghazvininejad, M., Shi, X., Choi, Y., and Knight, K. (2016). Generating topical poetry. In Proceedings of Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA. ACL Press.
[citation][year=2016]Wang, Z., He, W., Wu, H., Wu, H., Li, W., Wang, H., and Chen, E. (2016). Chinese poetry generation with planning based neural network. In Proceedings of 26th International Conference on Computational Linguistics, COLING 2016, Osaka, Japan. ACL Press.
[citation][year=2015]el Bolock, A. and Abdennadher, S. (2015). Towards automatic poetry generation using constraint handling rules. In Proceedings of the 30th Annual ACM Symposium on Applied Computing, SAC ’15, pages 1868–1873. ACM.
[citation][year=2015]liane Delente and Renault, R. (2015). Outils et mtrique: un tour d’horizon. Langages: Traitement automatique des textes versifis: problmatiques et pratiques, 3(199):5– 22.
[citation][year=2015]Alia El Bolock and Slim Abdennadher. Satisfying Poetry Properties Using Constraint Handling Rules. Proceedings of 16th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2015, Cairo, Egypt, April 14-20, 2015, LNCS 9042, pp 335-347. Springer 2015.
[citation][year=2014]Williams, H. M. (2014). A framework for the design and evaluation of magic tricks that utilises computational systems configured with psychological constraints. PhD thesis, Queen Mary, University of London.
[citation][year=2014]Bolock, A. E. (2014). Automatic poetry generation using chr. Master’s thesis, German University in Cairo.
[citation][year=2014]Alfenas, D. A., Shibata, D. P., Neto, J. J., and Pereira-Barretto, M. R. (2014). Adaptive markov systems: Formulation and framework. Latin America Transactions IEEE, 12(7):1271–1277
[citation][year=2014]A. Astigarraga, E. Jauregi, E. Lazkano, M. Agirrezabal. Textual coherence in a verse-maker robot. In Human-Computer Systems Interaction: Backgrounds and Applications 3, volume 300 of Advances in Intelligent Systems and Computing, pages 275–287. Springer. 2014.
[citation][year=2013]Rui Yan, Han Jiang, Mirella Lapata, Shou-De Lin, and Xiaoming Li. i, Poet: Automatic Chinese Poetry Composition through a Generative Summarization Framework under Constrained Optimization. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China, August 3-9, 2013.
[citation][year=2013]Aitzol Astigarraga, Manex Agirrezabal, Elena Lazkano, Ekaitz Jauregi, Basilio Sierra. Bertsobot: The first minstrel robot. Proceedings of 6th International Conference on Human System Interaction (HSI 2013). pp. 129 - 136. Sopot, Poland. 6-8 June 2013.
[citation][year=2012]Jing He, Ming Zhou, Long Jiang. Generating Chinese Classical Poems with Statistical Machine Translation Models. Proceedings of 26th AAAI Conference on Artificial Intelligence (AAAI-12). July 22-26, 2012, Toronto, Ontario, Canada. AAAI Press. 2012.
[citation][year=2012]Ahmad T. Al-Taani, Sallam Abualhaija, Susanne Ramadan and Izza Abuhaija. Poetry expert system. 
Proceedings of the 3rd International Conference on Information and Communication Systems (ICICS '12). ACM New York, NY, USA, 2012
[citation][year=2012]Bibi Feenaz Bhaukaurally, Mohammad Haydar Ally Didorally, Sameerchand Pudaruth. A Semi-Automated Lyrics Generation Tool for Mauritian Sega. IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 1, No. 4, Dec 2012, pp. 201~213 ISSN: 2252-8938.  IAES 2012.

[publication]Gonçalo Oliveira, H,  , "PoeTryMe: Towards Meaningful Poetry Generation", 2009
[citation][year=2014]Rajeswari Sridhar, D Jalin Gladis, Kameswaran Ganga, G Dhivya Prabha. Automatic tamil lyric generation based on ontological interpretation for semantics. Sadhana, 39(1):97–121. Springer India. 2014.

2008(1 publication)
[publication]Gonçalo Oliveira, H,  and Paulo Gomes , "Utilização do (analisador sintáctico) PEN para extracção de informação das definições de um dicionário", 2008
[citation][year=2014]Ilia Markov (2014). Automatic identification of whole-part relations in portuguese. Master’s thesis, Universidade do Algarve.
[citation][year=2010]Hernani Pereira Costa (2010). Automatic extraction and validation of lexical ontologies from text. Master’s thesis, University of Coimbra.

2007(1 publication)
[publication]Gonçalo Oliveira, H,  and Paulo Gomes and Santos, D. , "PAPEL – trabalho relacionado e relações semânticas em recursos semelhantes", 2007
[citation][year=2014]Amanda Direlly de Souza Pires. Uma abordagem para identificação de domínios de aplicação em ambigente de convergência digital. MSc Thesis. Universidade Federal da Paraíba. Julho de 2013.
[citation][year=2014]Gonçalo André Rodrigues Suissas (2014). Verb sense classification. Master’s thesis, Instituto Superior Técnico.