Journal Articles
2015(1 publication)
[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.

Conference Articles
2016(1 publication)
[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.

2010(3 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]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(1 publication)
[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.

2008(3 publications)
[publication]Santos, D. and Freitas, C. and Gonçalo Oliveira, H,  and Carvalho, P. , "Second HAREM: new challenges and old wisdom", in PROPOR 2008 - International Conference on Computational Processing of Portuguese,  vol. 5190, 2008
[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]Douglas Machado Monteiro (2015). A proposal for an architecture to extract information from SMS messages during emergency situations. Master’s thesis, Pontificial Catholic University of Rio Grande do Sul.
[citation][year=2014]Adam Kilgarriff, Miloš Jakubícek, Jan Pomikalek, Tony Berber Sardinha, Pete Whitelock(2014). PtTenTen: A Corpus for Portuguese Lexicography. Working with Portuguese Corpora, 111.
[citation][year=2014]Daniela Amaral, Evandro Fonseca, Lucelene Lopes and Renata Vieira. Comparative Analysis of Portuguese Named Entities Recognition Tools.  Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC'14). ELRA, Reykjavik, Iceland. 2014.
[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]Freitas, C. and Rocha, P. and Miranda, E.R. , "Floresta Sintá(c)tica: Bigger,  Thicker and Easier", in PROPOR 2008 LNAI 5190,  (Aveiro, Portugal, 8-10 September 2008), 2008

[publication]Freitas, C. and Rocha, P. and Bick, E. , "Uma nova paisagem na Floresta Sintá(c)tica", in Actas do XXIV Encontro Nacional da  Associação Portuguesa de Linguística, 2008

Book Chapters
2008(5 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.
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