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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
3512020
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
1822020
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
1052015
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
1012018
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
782017
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
742021
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
682020
Multiple features for clinical relation extraction: a machine learning approach
I Alimova, E Tutubalina
Journal of biomedical informatics 103, 103382, 2020
572020
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
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
502019
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
482021
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
472018
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
442020
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
422022
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
39*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
382019
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
302018
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
292020
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
282020
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
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