CISUC

Multilingual Extension and Evaluation of a Poetry Generator

Authors

Subject

Computational Creativity, Poetry Generation

Related Project

ConCreTe - Concept Creation Technology

Journal

Natural Language Engineering, Vol. 23, #6, pp. 929-967, January 2017

DOI


Cited by

Year 2020 : 1 citations

 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.

Year 2019 : 3 citations

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

 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.

 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.

Year 2018 : 1 citations

 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.