10th International Conference on Natural Language Generation, September 2017
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Year 2020 : 7 citations
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.
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
Garbacea, C. and Mei, Q. (2020). Neural language generation: Formulation, methods, and evaluation. https://arxiv.org/abs/2007.15780.
Lassila, H. (2020). Perspectives to evaluation of computational creativity. Master’s thesis, University of Jyvaskyla.
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.
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.
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.
Year 2019 : 11 citations
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.
Vincent, R. (2019). Multilingual poetry generation. Master’s thesis, Norwegian University of Science and Technology.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Year 2018 : 11 citations
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.
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.
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.
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.
Ghazvininejad, M. (2018). Neural Creative Language Generation. PhD thesis, Uni- versity of Southern California.
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.
Lamb, C. E. (2018). TwitSong: A current events computer poet and the thorny problem of assessment. PhD thesis, University of Waterloo, Ontario, Canada.
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.
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.
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.
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.
Year 2017 : 1 citations
Koreitem, K. and Xu, Y. T. (2017). Haiku generation using word associations. Technical report, McGill University.
