PoeTryMe: a versatile platform for poetry generation

Cited by

Year 2020 : 10 citations

 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

 Bena, B. and Kalita, J. (2020). Introducing aspects of creativity in automatic poetry generation. https://arxiv.org/abs/2002.02511.

 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.

 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.

 Shen, L., Guo, X., and Chen, M. (2020). Compose like humans: Jointly improving the coherence and novelty for modern chinese poetry generation.

 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.

 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).

 Gopidi, A. (2020). Poetry in the age of mechanical reproduction: A computational study. Master’s thesis, International Institute of Information Technology, Hyderabad, India.

 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.

 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.

Year 2019 : 18 citations

 Lamar, A. K. and Chambers, A. (2019). Generating homeric poetry with deep neural networks. In Proceedings of the 1st International Transdiscplinary A. I. Conference.

 Vincent, R. (2019). Multilingual poetry generation. Master’s thesis, Norwegian University of Science and Technology.

 Tucker, S. (2019). Transfer learning across languages with poetry. Master’s thesis, University of Colorado Colorado Springs.

 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.

 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.

 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.

 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.

 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.

 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.

 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.

 Wang, L., Yu, Y., and Zhang, Y. (2019). Custom generation of poetry based on seq2seq model. Journal of Frontiers of Computer Science and Technology.

 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.

 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.

 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.

 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.

 Wu, L. (2019). Generating Descriptive and Accurate Image Captions with Neural Networks. PhD thesis, University of Technology Sydney.

 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.

 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.

Year 2018 : 19 citations

 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.

 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.

 Loughran, R. (2018). Grammatical evolution and creativity. In Handbook of Grammatical Evolution, pages 341–366. Springer.

 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.

 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.

 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.

 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.

 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.

 Ghazvininejad, M. (2018). Neural Creative Language Generation. PhD thesis, University of Southern California.

 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.

 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.

 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.

 Lamb, C. E. (2018). TwitSong: A current events computer poet and the thorny problem of assessment. PhD thesis, University of Waterloo, Ontario, Canada.

 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.

 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.

 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.

 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.

 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.

 Zhang, J. and Wang, D. (2018). Chinese Poetry Generation with Flexible Styles. ArXiv e-prints.

Year 2017 : 8 citations

 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.

 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.

 Wang, Q., Luo, T., and Wang, D. (2017). Can machine generate traditional chinese poetry? A Turing test. Technical Report 20160032, CSLT.

 Ventura, D. (2017). How to build a cc system. In Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017, Atlanta, Georgia, USA.

 Manex Aguirrezabal Zabaletak (2017). Automatic Scansion of Poetry. PhD thesis, Universidade del País Vasco, San Sebastian, 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.

 Pablo Gervás (2017), Deconstructing Computer Poets: Making Selected Processes Available as Services. Computational Intelligence. Volume 33, Issue 1, pages 3–31, February 2017.

 Loller-Andersen, M. (2017). Computational linguistic creativity: Poetry generation given visual input. Master’s thesis, Norwegian University of Science and Technology (NTU).

Year 2016 : 12 citations

 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.

 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.

 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.

 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.

 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.

 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.

 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.

 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.

 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.

 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.

 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.

 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.

Year 2015 : 8 citations

 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.

 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.

 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)

 Toivonen, H. and Gross, O. (2015). Data mining and machine learning in computational creativity. WIREs Data Mining Knowledge Discovery. (online since October 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.

 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.

 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.

 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.

Year 2014 : 3 citations

 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.

 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.

 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.

Year 2013 : 1 citations

 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.