A large-scale computational study of content preservation measures for text style transfer and paraphrase generation N Babakov, D Dale, V Logacheva, A Panchenko Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 12 | 2022 |
Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company's Reputation N Babakov, V Logacheva, O Kozlova, N Semenov, A Panchenko Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing …, 2021 | 9 | 2021 |
Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements N Babakov, V Logacheva, A Panchenko Language Resources and Evaluation, 1-46, 2023 | 5* | 2023 |
Don’t lose the message while paraphrasing: A study on content preserving style transfer N Babakov, D Dale, I Gusev, I Krotova, A Panchenko International Conference on Applications of Natural Language to Information …, 2023 | 4 | 2023 |
Detecting Text Formality: A Study of Text Classification Approaches AP Daryna Dementieva, Nikolay Babakov Proceedings of the 14th International Conference on Recent Advances in …, 2023 | 1* | 2023 |
Error syntax aware augmentation of feedback comment generation dataset N Babakov, M Lysyuk, A Shvets, L Kazakova, A Panchenko INLG, 37–44, 2022 | 1 | 2022 |
Studying the role of named entities for content preservation in text style transfer N Babakov, D Dale, V Logacheva, I Krotova, A Panchenko International Conference on Applications of Natural Language to Information …, 2022 | 1 | 2022 |