E2E NLG Challenge: Neural Models vs. Templates Y Puzikov, I Gurevych Proceedings of the 11th International Conference on Natural Language …, 2018 | 72 | 2018 |
Integrating deep linguistic features in factuality prediction over unified datasets G Stanovsky, J Eckle-Kohler, Y Puzikov, I Dagan, I Gurevych Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 54 | 2017 |
M2l at semeval-2016 task 8: Amr parsing with neural networks Y Puzikov, D Kawahara, S Kurohashi Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 16 | 2016 |
LSDSem 2017: Exploring data generation methods for the story cloze test M Bugert, Y Puzikov, A Rücklé, J Eckle-Kohler, MT Martín-Valdivia, ... Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and …, 2017 | 14 | 2017 |
BinLin: A simple method of dependency tree linearization Y Puzikov, I Gurevych Proceedings of the First Workshop on Multilingual Surface Realisation, 13-28, 2018 | 11 | 2018 |
The Kyoto University cross-lingual pronoun translation system R Dabre, Y Puzikov, F Cromieres, S Kurohashi Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016 | 10 | 2016 |
Revisiting the binary linearization technique for surface realization Y Puzikov, C Gardent, I Dagan, I Gurevych Proceedings of the 12th International Conference on Natural Language …, 2019 | 4 | 2019 |
Principled Approach to Natural Language Generation Y Puzikov Technische Universität Darmstadt, 2021 | | 2021 |
Evaluation Discrepancy Discovery: A Sentence Compression Case-study Y Puzikov arXiv preprint arXiv:2101.09079, 2021 | | 2021 |
Empirical Evaluation of Supervision Signals for Style Transfer Models Y Puzikov, S Stanley, I Gurevych, I Schweizer arXiv preprint arXiv:2101.06172, 2021 | | 2021 |