Elena Tutubalina
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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
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
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
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
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
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
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
Multiple features for clinical relation extraction: A machine learning approach
I Alimova, E Tutubalina
Journal of biomedical informatics 103, 103382, 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
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
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
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
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
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
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
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
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
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
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
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
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