| Text detoxification using large pre-trained neural models D Dale, A Voronov, D Dementieva, V Logacheva, O Kozlova, N Semenov, ... arXiv preprint arXiv:2109.08914, 2021 | 29 | 2021 |
| Paradetox: Detoxification with parallel data V Logacheva, D Dementieva, S Ustyantsev, D Moskovskiy, D Dale, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 21 | 2022 |
| Methods for detoxification of texts for the russian language D Dementieva, D Moskovskiy, V Logacheva, D Dale, O Kozlova, ... Multimodal Technologies and Interaction 5 (9), 54, 2021 | 12 | 2021 |
| A simple solution for the Taxonomy enrichment task: Discovering hypernyms using nearest neighbor search DS Dale Computational Linguistics and Intellectual Technologies: Proceedings of the …, 2020 | 11 | 2020 |
| SeamlessM4T-Massively Multilingual & Multimodal Machine Translation L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, PA Duquenne, ... arXiv preprint arXiv:2308.11596, 2023 | 8 | 2023 |
| Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better D Dale, E Voita, L Barrault, MR Costa-jussà arXiv preprint arXiv:2212.08597, 2022 | 8 | 2022 |
| Crowdsourcing of parallel corpora: the case of style transfer for detoxification D Dementieva, S Ustyantsev, D Dale, O Kozlova, N Semenov, ... Proceedings of the 2nd Crowd Science Workshop: Trust, Ethics, and Excellence …, 2021 | 8 | 2021 |
| HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation D Dale, E Voita, J Lam, P Hansanti, C Ropers, E Kalbassi, C Gao, ... arXiv preprint arXiv:2305.11746, 2023 | 7 | 2023 |
| Estimation of nested and zero-inflated ordered probit models D Dale, A Sirchenko The Stata Journal 21 (1), 3-38, 2021 | 7 | 2021 |
| 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 | 6 | 2022 |
| 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 | 2 | 2023 |
| The first neural machine translation system for the Erzya language D Dale arXiv preprint arXiv:2209.09368, 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 |
| SkoltechNLP at SemEval-2021 Task 5: Leveraging Sentence-level Pre-training for Toxic Span Detection D Dale, I Markov, V Logacheva, O Kozlova, N Semenov, A Panchenko | 1 | 2021 |
| Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification D Dementieva, D Moskovskiy, D Dale, A Panchenko arXiv preprint arXiv:2311.13937, 2023 | | 2023 |
| Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation MR Costa-jussà, D Dale, M Elbayad, B Yu arXiv preprint arXiv:2311.06532, 2023 | | 2023 |
| SpeechAlign: a Framework for Speech Translation Alignment Evaluation B Alastruey, A Sant, GI Gállego, D Dale, MR Costa-jussà arXiv preprint arXiv:2309.11585, 2023 | | 2023 |
| RUSSE-2022: Findings of the First Russian Detoxification Shared Task Based on Parallel Corpora D Dementieva, V Logacheva, I Nikishina, A Fenogenova, D Dale, ... | | |
Alexander PanchenkoAssociate Professor for NLP at Skoltech, Artificial Intelligence Research InstituteVerified email at skol.tech
