| To the methodology of corpus construction for machine learning:“Taiga” syntax tree corpus and parser T Shavrina, O Shapovalova Proceedings of “CORPORA-2017” International Conference, 78-84, 2017 | 80 | 2017 |
| Bloom: A 176b-parameter open-access multilingual language model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022 | 61 | 2022 |
| RussianSuperGLUE: A Russian language understanding evaluation benchmark T Shavrina, A Fenogenova, A Emelyanov, D Shevelev, E Artemova, ... arXiv preprint arXiv:2010.15925, 2020 | 40 | 2020 |
| MorphoRuEval-2017: an evaluation track for the automatic morphological analysis methods for Russian A Sorokin, T Shavrina, O Lyashevskaya, B Bocharov, S Alexeeva, ... | 20 | 2017 |
| Spelling correction for morphologically rich language: a case study of russian A Sorokin Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing …, 2017 | 16 | 2017 |
| GRAMEVAL 2020 Shared Task: Russian Full Morphology and Universal Dependencies Parsing VNA Lyashevskaya O. N., Shavrina T. O., Trofimov I. V. Компьютерная лингвистика и интеллектуальные технологии: По материалам …, 2020 | 13* | 2020 |
| Automatic spelling correction for Russian social media texts A Sorokin, T Shavrina Proceedings of the International Conference “Dialog”, Moscow, 688-701, 2016 | 13 | 2016 |
| mgpt: Few-shot learners go multilingual O Shliazhko, A Fenogenova, M Tikhonova, V Mikhailov, A Kozlova, ... arXiv preprint arXiv:2204.07580, 2022 | 12 | 2022 |
| SpellRuEval: The first competition on automatic spelling correction for Russian A Sorokin, A Baytin, I Galinskaya, T Shavrina Proceedings of the Annual International Conference “Dialogue 15, 2016 | 12 | 2016 |
| Automatic morphological tagging of Russian social media corpora: training and testing D Selegey, T Shavrina, V Selegey, S Sharoff Computational Linguistics and Intellectual Technologies, 589-604, 2016 | 9 | 2016 |
| Differential approach to webcorpus construction T Shavrina Computational Linguistics and Intellectual Technologies: Proceedings of the …, 2018 | 8 | 2018 |
| Findings of the the ruatd shared task 2022 on artificial text detection in russian T Shamardina, V Mikhailov, D Chernianskii, A Fenogenova, M Saidov, ... arXiv preprint arXiv:2206.01583, 2022 | 7 | 2022 |
| Danetqa: a yes/no question answering dataset for the russian language T Glushkova, A Machnev, A Fenogenova, T Shavrina, E Artemova, ... Analysis of Images, Social Networks and Texts: 9th International Conference …, 2021 | 7 | 2021 |
| Text collections for evaluation of Russian morphological taggers O LyASHEVSKAyA, V Bocharov, A Sorokin, T Shavrina, D Granovsky, ... Journal of Linguistics/Jazykovedný casopis 68 (2), 258-267, 2017 | 6 | 2017 |
| Modeling advanced lemmatization for Russian language using TnT-Russian morphological parser T Shavrina, A Sorokin Computational Linguistics and Intellectual Technologies: Proceedings of the …, 2015 | 6 | 2015 |
| Корпус с автоматически снятой морфологической неоднозначностью: к методике лингвистических исследований СА Шаров, ВИ Беликов, НЮ Копылов, АА Сорокин, ТО Шаврина Компьютерная лингвистика и интеллектуальные технологии. По материалам …, 2015 | 5 | 2015 |
| Методы обнаружения и исправления опечаток: исторический обзор ТО Шаврина Вопросы языкознания, 115-134, 2017 | 4 | 2017 |
| WikiOmnia: generative QA corpus on the whole Russian Wikipedia D Pisarevskaya, T Shavrina arXiv preprint arXiv:2204.08009, 2022 | 3 | 2022 |
| Agrr-2019: Automatic gapping resolution for russian IM Smurov, M Ponomareva, TO Shavrina, K Droganova Computational Linguistics and Intellectual Technologies, 561-575, 2019 | 3 | 2019 |
| Building a Bilingual QA-system with ruGPT-3 T Shavrina, D Pisarevskaya, V Malykh Analysis of Images, Social Networks and Texts: 10th International Conference …, 2022 | 2 | 2022 |
Alena FenogenovaSberDevices, HSEVerified email at hse.ru
