Elena Tutubalina
Elena Tutubalina
Подтвержден адрес электронной почты в домене kpfu.ru - Главная страница
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Процитировано
Процитировано
Год
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, ...
arXiv preprint arXiv:2004.03688, 2020
121*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
762015
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
592018
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
542017
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
522020
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
39*2017
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
342020
Automated detection of adverse drug reactions from social media posts with machine learning
I Alimova, E Tutubalina
International Conference on Analysis of Images, Social Networks and Texts, 3-15, 2017
322017
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
312019
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
27*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
232021
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
212015
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
202019
Multiple features for clinical relation extraction: a machine learning approach
I Alimova, E Tutubalina
Journal of biomedical informatics 103, 103382, 2020
192020
Exploring convolutional neural networks and topic models for user profiling from drug reviews
E Tutubalina, S Nikolenko
Multimedia Tools and Applications 77 (4), 4791-4809, 2018
172018
Inferring sentiment-based priors in topic models
E Tutubalina, S Nikolenko
Mexican International Conference on Artificial Intelligence, 92-104, 2015
172015
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
142020
Rurebus-2020 shared task: Russian relation extraction for business
VA Ivanin, EL Artemova, TV Batura, VV Ivanov, VV Sarkisyan, ...
Computational Linguistics and Intellectual Technologies, 416-431, 2020
142020
Distant supervision for sentiment attitude extraction
N Rusnachenko, N Loukachevitch, E Tutubalina
Proceedings of the International Conference on Recent Advances in Natural …, 2019
142019
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 (11), 2180-2189, 2017
132017
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