| Sockeye: A toolkit for neural machine translation F Hieber, T Domhan, M Denkowski, D Vilar, A Sokolov, A Clifton, M Post Association for Machine Translation in the Americas (AMTA), 2017 | 315* | 2017 |
| Quality at a glance: An audit of web-crawled multilingual datasets J Kreutzer, I Caswell, L Wang, A Wahab, D Van Esch, N Ulzii-Orshikh, ... Transactions of the Association for Computational Linguistics 10, 50-72, 2022 | 280 | 2022 |
| A full-text learning to rank dataset for medical information retrieval V Boteva, D Gholipour, A Sokolov, S Riezler European Conference on Information Retrieval, 716-722, 2016 | 225 | 2016 |
| Scaling up influence functions A Schioppa, P Zablotskaia, D Vilar, A Sokolov Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8179-8186, 2022 | 183 | 2022 |
| Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets TACL, 50-72, 2022 | 132* | 2022 |
| Bandit structured prediction for neural sequence-to-sequence learning J Kreutzer, A Sokolov, S Riezler Association for Computational Linguistics (ACL), 2017 | 54 | 2017 |
| Limsi@ wmt13 A Allauzen, N Pécheux, QK Do, M Dinarelli, T Lavergne, A Max, HS Le, ... Proceedings of the Eighth Workshop on Statistical Machine Translation, 62-69, 2013 | 48 | 2013 |
| Learning translational and knowledge-based similarities from relevance rankings for cross-language retrieval S Schamoni, F Hieber, A Sokolov, S Riezler Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 43 | 2014 |
| Learning structured predictors from bandit feedback for interactive NLP A Sokolov, J Kreutzer, C Lo, S Riezler Association for Computational Linguistics (ACL), 2016 | 41 | 2016 |
| Optimally Segmenting Inputs for NMT Favors Character-Level Processing J Kreutzer, A Sokolov International Workshop on Speech and Language Processing (IWSLT), 2017 | 38* | 2017 |
| Controlling machine translation for multiple attributes with additive interventions A Schioppa, D Vilar, A Sokolov, K Filippova Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 35 | 2021 |
| Stochastic structured prediction under bandit feedback A Sokolov, J Kreutzer, S Riezler, C Lo Advances in neural information processing systems 29, 2016 | 35 | 2016 |
| Counterfactual learning from bandit feedback under deterministic logging: A case study in statistical machine translation C Lawrence, A Sokolov, S Riezler arXiv preprint arXiv:1707.09118, 2017 | 29 | 2017 |
| Neural distributed representation for intelligent information technologies and modeling of thinking VI Gritsenko, DA Rachkovskij, AD Goltsev, VV Lukovych, IS Misuno, ... Cybernetics and Computer Engineering 173, 7-24, 2013 | 29 | 2013 |
| Bandit structured prediction for learning from partial feedback in statistical machine translation A Sokolov, S Riezler, T Urvoy Machine Translaiton Summit (MTSummit), 2015 | 28 | 2015 |
| Searching for text information with the help of vector representations IS Misuno, DA Rachkovskij, SV Slipchenko, AM Sokolov Problems of Programming 4, 50-59, 2005 | 28 | 2005 |
| Limsi@ wmt12 HS Le, T Lavergne, A Allauzen, M Apidianaki, L Gong, A Max, A Sokolov, ... Workshop on Statistical Machine Translation (WMT), 2012 | 27 | 2012 |
| Computing lattice BLEU oracle scores for machine translation A Sokolov, G Wisniewski, F Yvon 13th Conference of the European Chapter of the Association for computational …, 2012 | 25 | 2012 |
| Vector representations for efficient comparison and search for similar strings AM Sokolov Cybernetics and Systems Analysis 43 (4), 484-498, 2007 | 24 | 2007 |
| Make every example count: On the stability and utility of self-influence for learning from noisy nlp datasets I Bejan, A Sokolov, K Filippova arXiv preprint arXiv:2302.13959, 2023 | 23 | 2023 |
