| 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 | 70 | 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 | 65 | 2020 |
| Multiple features for clinical relation extraction: a machine learning approach I Alimova, E Tutubalina Journal of biomedical informatics 103, 103382, 2020 | 53 | 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 | 47 | 2021 |
| Automated detection of adverse drug reactions from social media posts with machine learning I Alimova, E Tutubalina Analysis of Images, Social Networks and Texts: 6th International Conference …, 2018 | 46 | 2018 |
| 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 | 43 | 2021 |
| 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 | 37 | 2019 |
| 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 | 28 | 2020 |
| Extracting aspects, sentiment and categories of aspects in user reviews about restaurants and cars VV Ivanov, EV Tutubalina, NR Mingazov, IS Alimova Komp'juternaja Lingvistika i Intellektual'nye Tehnologii, 22-33, 2015 | 26 | 2015 |
| 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 | 25 | 2017 |
| A machine learning approach to classification of drug reviews in Russian I Alimova, E Tutubalina, J Alferova, G Gafiyatullina 2017 Ivannikov ISPRAS Open Conference (ISPRAS), 64-69, 2017 | 16 | 2017 |
| Interactive attention network for adverse drug reaction classification I Alimova, V Solovyev Artificial Intelligence and Natural Language: 7th International Conference …, 2018 | 15 | 2018 |
| Тестирование методов анализа тональности текста, основанных на словарях ЕВ Тутубалина, ВВ Иванов, М Загулова, Н Мингазов, И Алимова, ... Электронные библиотеки 18 (3-4), 138-162, 2015 | 15 | 2015 |
| Lawyer's intellectual tool for analysis of legal documents in Russian A Khasianov, I Alimova, A Marchenko, G Nurhambetova, E Tutubalina, ... 2018 International Conference on Artificial Intelligence Applications and …, 2018 | 9 | 2018 |
| Cross-domain limitations of neural models on biomedical relation classification I Alimova, E Tutubalina, SI Nikolenko IEEE Access 10, 1432-1439, 2021 | 7 | 2021 |
| Detecting adverse drug reactions from biomedical texts with neural networks I Alimova, E Tutubalina Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 7 | 2019 |
| Entity-level classification of adverse drug reaction: a comparative analysis of neural network models IS Alimova, EV Tutubalina Programming and Computer Software 45, 439-447, 2019 | 6 | 2019 |
| Entity-level Classification of Adverse Drug Reactions: a Comparison of Neural Network Models. I Alimova, E Tutubalina WNLP@ ACL, 132-134, 2019 | 5 | 2019 |
| Cross-lingual Transfer Learning for Semantic Role Labeling in Russian I Alimova, E Tutubalina, A Kirillovich Proceedings of the 4th International Conference on Computational Linguistics …, 2020 | 4 | 2020 |
| A Comparative Study on Feature Selection in Relation Extraction from Electronic Health Records. I Alimova, E Tutubalina DAMDID/RCDL, 34-45, 2019 | 3 | 2019 |
Elena TutubalinaKazan Federal UniversityDirección de correo verificada de kpfu.ru
