| Findings of the 2017 conference on machine translation (wmt17) O Bojar, R Chatterjee, C Federmann, Y Graham, B Haddow, S Huang, ... Association for Computational Linguistics, 2017 | 879 | 2017 |
| Findings of the 2016 conference on machine translation (wmt16) O Bojar, R Chatterjee, C Federmann, Y Graham, B Haddow, M Huck, ... First conference on machine translation, 131-198, 2016 | 817 | 2016 |
| The second conversational intelligence challenge (convai2) E Dinan, V Logacheva, V Malykh, A Miller, K Shuster, J Urbanek, D Kiela, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 392 | 2020 |
| Deeppavlov: Open-source library for dialogue systems M Burtsev, A Seliverstov, R Airapetyan, M Arkhipov, D Baymurzina, ... Proceedings of ACL 2018, System Demonstrations, 122-127, 2018 | 237 | 2018 |
| Few-shot classification in named entity recognition task A Fritzler, V Logacheva, M Kretov Proceedings of the 34th ACM/SIGAPP symposium on applied computing, 993-1000, 2019 | 226 | 2019 |
| 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 | 72 | 2022 |
| 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 | 69 | 2021 |
| Shef-nn: Translation quality estimation with neural networks K Shah, V Logacheva, G Paetzold, F Blain, D Beck, F Bougares, L Specia Association for Computational Linguistics, 2015 | 35 | 2015 |
| Convai dataset of topic-oriented human-to-chatbot dialogues V Logacheva, M Burtsev, V Malykh, V Polulyakh, A Seliverstov The NIPS'17 Competition: Building Intelligent Systems, 47-57, 2018 | 26 | 2018 |
| The first conversational intelligence challenge M Burtsev, V Logacheva, V Malykh, IV Serban, R Lowe, S Prabhumoye, ... The NIPS'17 Competition: Building Intelligent Systems, 25-46, 2018 | 26 | 2018 |
| Robust word vectors: Context-informed embeddings for noisy texts V Malykh, V Logacheva, T Khakhulin Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User …, 2018 | 25* | 2018 |
| Marmot: A toolkit for translation quality estimation at the word level V Logacheva, C Hokamp, L Specia Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 25 | 2016 |
| RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language I Nikishina, V Logacheva, A Panchenko, N Loukachevitch arXiv preprint arXiv:2005.11176, 2020 | 24 | 2020 |
| 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 | 22 | 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 | 19 | 2022 |
| Which is better for deep learning: python or MATLAB? Answering comparative questions in natural language V Chekalina, A Bondarenko, C Biemann, M Beloucif, V Logacheva, ... Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 18 | 2021 |
| Phrase level segmentation and labelling of machine translation errors F Blain, V Logacheva, L Specia Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 16 | 2016 |
| Word sense disambiguation for 158 languages using word embeddings only V Logacheva, D Teslenko, A Shelmanov, S Remus, D Ustalov, A Kutuzov, ... arXiv preprint arXiv:2003.06651, 2020 | 15 | 2020 |
| ConvAI2 dataset of non-goal-oriented human-to-bot dialogues V Logacheva, V Malykh, A Litinsky, M Burtsev The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 15 | 2020 |
| Studying taxonomy enrichment on diachronic wordnet versions I Nikishina, A Panchenko, V Logacheva, N Loukachevitch arXiv preprint arXiv:2011.11536, 2020 | 14 | 2020 |
Lucia SpeciaProfessor, Imperial College London and Chief Scientist at Contex.aiBestätigte E-Mail-Adresse bei imperial.ac.uk
