Search results
Results: 8
Number of items: 8
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Voita, E., Sennrich, R., & Titov, I. (2021). Analyzing the source and target contributions to predictions in neural machine translation. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ACL-IJCNLP 2021 : proceedings of the conference : August 1-6, 2021 (Vol. 1, pp. 1126-1140). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.91 -
Voita, E., Sennrich, R., & Titov, I. (2021). Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT. In M.-C. Moens, X. Huang, L. Specia, & S. W. Yih (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp. 8478-8491). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.emnlp-main.667 -
Voita, E., & Titov, I. (2020). Information-theoretic probing with minimum description length. In B. Webber, T. Cohn, Y. He, & Y. Liu (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp. 183-196). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.14 -
Voita, E., Sennrich, R., & Titov, I. (2019). The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives. In K. Inui, J. Jiang, V. Ng, & X. Wan (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp. 4396-4406). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1448 -
Voita, E., Sennrich, R., & Titov, I. (2019). Context-Aware Monolingual Repair for Neural Machine Translation. In K. Inui, J. Jiang, V. Ng, & X. Wan (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp. 877-886). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1081 -
Voita, E., Sennrich, R., & Titov, I. (2019). When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion. In A. Korhonen, D. Traum, & L. Màrquez (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp. 1198-1212). The Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1116 -
Voita, E., Talbot, D., Moiseev, F., Sennrich, R., & Titov, I. (2019). Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned. In A. Korhonen, D. Traum, & L. Màrquez (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp. 5797–5808). The Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1580 -
Voita, E., Serdyukov, P., Sennrich, R., & Titov, I. (2018). Context-aware neural machine translation learns anaphora resolution. In I. Gurevych, & Y. Miyao (Eds.), ACL 2018 : The 56th Annual Meeting of the Association for Computational Linguistics: proceedings of the conference : July 15-20, 2018, Melbourne, Australia (Vol. 1, pp. 1264-1274). The Association for Computational Linguistics. https://doi.org/10.18653/v1/p18-1117
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