| Adaptation of deep bidirectional multilingual transformers for Russian language Y Kuratov, M Arkhipov arXiv preprint arXiv:1905.07213, 2019 | 392 | 2019 |
| 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 | 212 | 2018 |
| Tuning multilingual transformers for language-specific named entity recognition M Arkhipov, M Trofimova, Y Kuratov, A Sorokin Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing …, 2019 | 146 | 2019 |
| Neural entity linking: A survey of models based on deep learning Ö Sevgili, A Shelmanov, M Arkhipov, A Panchenko, C Biemann Semantic Web 13 (3), 527-570, 2022 | 132 | 2022 |
| Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition TA Le, MY Arkhipov, MS Burtsev Artificial Intelligence and Natural Language: 6th Conference, AINL 2017, St …, 2018 | 64 | 2018 |
| Tuning multilingual transformers for named entity recognition on slavic languages M Arkhipov, M Trofimova, Y Kuratov, A Sorokin Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing …, 2019 | 16 | 2019 |
| Sparql query generation for complex question answering with bert and bilstm-based model DA Evseev, MY Arkhipov Computational Linguistics and Intellectual Technologies, 270-282, 2020 | 14 | 2020 |
| Neural entity linking: A survey of models based on deep learning. arXiv O Sevgili, A Shelmanov, M Arkhipov, A Panchenko, C Biemann arXiv preprint arXiv:2006.00575, 2020 | 8 | 2020 |
| Deeppavlov: An open source library for conversational ai M Burtsev, A Seliverstov, R Airapetyan, M Arkhipov, D Baymurzina, ... | 6 | 2018 |
| Complete Likelihood Objective for Latent Variable Models M Arkhipov, M Vikhreva | | 2022 |
| ACL 2018-56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF SYSTEM DEMONSTRATIONS M Burtsev, A Seliverstov, R Airapetyan, M Arkhipov, D Baymurzina, ... | | 2015 |
| SPARQL QUERY GENERATION FOR COMPLEX QUESTION ANSWERING WITH BERT AND BILSTM-BASED MODEL E DA, MY Arkhipov | | |
Yuri KuratovAIRI (Artificial Intelligence Research Institute), Moscow Institute of Physics and TechnologyVerified email at phystech.edu
