A Survey on Intelligent Poetry Generation: Languages, Features, Techniques, Reutilisation and Evaluation



Computational Creativity, Poetry Generation


10th International Conference on Natural Language Generation, September 2017

Cited by

Year 2019 : 2 citations

 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.

Year 2018 : 8 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.

 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.