| Medical concept normalization in social media posts with recurrent neural networks E Tutubalina, Z Miftahutdinov, S Nikolenko, V Malykh Journal of biomedical informatics 84, 93-102, 2018 | 106 | 2018 |
| Overview of the sixth social media mining for health applications (# SMM4H) shared tasks at NAACL 2021 A Magge, A Klein, A Miranda-Escalada, MA Al-Garadi, I Alimova, ... Proceedings of the sixth social media mining for health (# SMM4H) workshop …, 2021 | 83 | 2021 |
| Overview of the fifth social media mining for health applications (# smm4h) shared tasks at coling 2020 A Klein, I Alimova, I Flores, A Magge, Z Miftahutdinov, AL Minard, ... Proceedings of the fifth social media mining for health applications …, 2020 | 74 | 2020 |
| DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter A Magge, E Tutubalina, Z Miftahutdinov, I Alimova, A Dirkson, S Verberne, ... Journal of the American Medical Informatics Association 28 (10), 2184-2192, 2021 | 66 | 2021 |
| Deep neural models for medical concept normalization in user-generated texts Z Miftahutdinov, E Tutubalina arXiv preprint arXiv:1907.07972, 2019 | 62 | 2019 |
| The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews E Tutubalina, I Alimova, Z Miftahutdinov, A Sakhovskiy, V Malykh, ... Bioinformatics 37 (2), 243-249, 2021 | 55 | 2021 |
| Identifying disease-related expressions in reviews using conditional random fields MZ Sh, EV Tutubalina, AE Tropsha Computational Linguistics and Intellectual Technologies 1 (16), 155-166, 2017 | 52 | 2017 |
| KFU NLP team at SMM4H 2019 tasks: Want to extract adverse drugs reactions from tweets? BERT to the rescue Z Miftahutdinov, I Alimova, E Tutubalina Proceedings of the fourth social media mining for health applications …, 2019 | 43 | 2019 |
| Medical concept normalization in clinical trials with drug and disease representation learning Z Miftahutdinov, A Kadurin, R Kudrin, E Tutubalina Bioinformatics 37 (21), 3856-3864, 2021 | 34 | 2021 |
| KFU at CLEF eHealth 2017 Task 1: ICD-10 Coding of English Death Certificates with Recurrent Neural Networks. Z Miftahutdinov, E Tutubalina CLEF (Working Notes), 2017 | 34 | 2017 |
| Fair evaluation in concept normalization: a large-scale comparative analysis for BERT-based models E Tutubalina, A Kadurin, Z Miftahutdinov Proceedings of the 28th International conference on computational …, 2020 | 32 | 2020 |
| Using semantic analysis of texts for the identification of drugs with similar therapeutic effects EV Tutubalina, ZS Miftahutdinov, RI Nugmanov, TI Madzhidov, ... Russian Chemical Bulletin 66, 2180-2189, 2017 | 32 | 2017 |
| On biomedical named entity recognition: experiments in interlingual transfer for clinical and social media texts Z Miftahutdinov, I Alimova, E Tutubalina European Conference on Information Retrieval, 281-288, 2020 | 30 | 2020 |
| KFU NLP team at SMM4H 2021 tasks: Cross-lingual and cross-modal BERT-based models for adverse drug effects A Sakhovskiy, Z Miftahutdinov, E Tutubalina Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop …, 2021 | 27 | 2021 |
| nach0: multimodal natural and chemical languages foundation model M Livne, Z Miftahutdinov, E Tutubalina, M Kuznetsov, D Polykovskiy, ... Chemical Science 15 (22), 8380-8389, 2024 | 23 | 2024 |
| KFU NLP team at SMM4H 2020 tasks: Cross-lingual transfer learning with pretrained language models for drug reactions Z Miftahutdinov, A Sakhovskiy, E Tutubalina Proceedings of the fifth social media mining for health applications …, 2020 | 16 | 2020 |
| Medical crossing: a cross-lingual evaluation of clinical entity linking A Alekseev, Z Miftahutdinov, E Tutubalina, A Shelmanov, V Ivanov, ... Proceedings of the thirteenth language resources and evaluation conference …, 2022 | 10 | 2022 |
| Drug and disease interpretation learning with biomedical entity representation transformer Z Miftahutdinov, A Kadurin, R Kudrin, E Tutubalina European Conference on Information Retrieval, 451-466, 2021 | 10 | 2021 |
| Deep learning for ICD coding: Looking for medical concepts in clinical documents in English and in French Z Miftahutdinov, E Tutubalina Experimental IR Meets Multilinguality, Multimodality, and Interaction: 9th …, 2018 | 9 | 2018 |
| RuCCoN: clinical concept normalization in Russian A Nesterov, G Zubkova, Z Miftahutdinov, V Kokh, E Tutubalina, ... Findings of the Association for Computational Linguistics: ACL 2022, 239-245, 2022 | 6 | 2022 |
Elena TutubalinaAIRI, ISP RAS, KFUVerificeret mail på airi.net
