| A large-scale COVID-19 Twitter chatter dataset for open scientific research--an international collaboration JM Banda, R Tekumalla, G Wang, J Yu, T Liu, Y Ding, E Artemova, ... Epidemiologia, 2020 | 341 | 2020 |
| Recvae: A new variational autoencoder for top-n recommendations with implicit feedback I Shenbin, A Alekseev, E Tutubalina, V Malykh, SI Nikolenko Proceedings of the 13th international conference on web search and data …, 2020 | 171 | 2020 |
| SentiRuEval: testing object-oriented sentiment analysis systems in Russian N Loukachevitch, P Blinov, E Kotelnikov, Y Rubtsova, V Ivanov, ... Proceedings of International Conference Dialog 2, 3-13, 2015 | 103 | 2015 |
| 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 | 97 | 2018 |
| Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User Reviews E Tutubalina, S Nikolenko Journal of Healthcare Engineering, 1-9, 2017 | 75 | 2017 |
| 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 | 69 | 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 | 64 | 2020 |
| Multiple features for clinical relation extraction: a machine learning approach I Alimova, E Tutubalina Journal of biomedical informatics 103, 103382, 2020 | 53 | 2020 |
| Identifying disease-related expressions in reviews using conditional random fields Z Miftahutdinov, A Tropsha, E Tutubalina Computational Linguistics and Intellectual Technologies: Papers from the …, 2017 | 51* | 2017 |
| 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 |
| Deep Neural Models for Medical Concept Normalization in User-Generated Texts Z Miftahutdinov, E Tutubalina Proceedings of the 57th Conference of the Association for Computational …, 2019 | 47 | 2019 |
| 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, 2020 | 42 | 2020 |
| Overview of the seventh Social Media Mining for Health Applications (# SMM4H) shared tasks at COLING 2022 D Weissenbacher, J Banda, V Davydova, DE Zavala, LG Sánchez, Y Ge, ... Proceedings of The Seventh Workshop on Social Media Mining for Health …, 2022 | 38 | 2022 |
| Kfu at clef ehealth 2017 task 1: Icd-10 coding of english death certificates with recurrent neural networks Z Miftakhutdinov, E Tutubalina CEUR Workshop Proceedings, 2017 | 38* | 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 | 37 | 2019 |
| Exploring convolutional neural networks and topic models for user profiling from drug reviews E Tutubalina, S Nikolenko Multimedia Tools and Applications 77, 4791-4809, 2018 | 29 | 2018 |
| 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 |
| 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 | 27 | 2020 |
| NEREL: A Russian Dataset with Nested Named Entities and Relations N Loukachevitch, E Artemova, T Batura, P Braslavski, I Denisov, V Ivanov, ... RANLP 2021, 2021 | 26* | 2021 |
Sergey NikolenkoSteklov Institute of Mathematics at St. Petersburg, Russialogic.pdmi.ras.ru üzerinde doğrulanmış e-posta adresine sahip
