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Papers by: Tutubalina E. V.

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Paper title Paper author Affiliation Conference Year Tasks
Identifying Disease-Related Expressions In Reviews Using Conditional Random Fields (URL) Miftahutdinov Z. Sh.
Tropsha A. E.
Tutubalina E. V.
Kazan (Volga Region) Federal University, Kazan, Russia
University of North Carolina, Chapel Hill, USA
Dialogue 2017 Извлечение именованных сущностей
Leveraging Deep Neural Networks And Semantic Similarity Measures For Medical Concept Normalisation In User Reviews (URL) Miftahutdinov Z. Sh.
Tutubalina E. V.
Kazan (Volga Region) Federal University, Kazan, Russia
Dialogue 2018 Извлечение именованных сущностей
Multiple Features For Multiword Extraction: A Learning-To-Rank Approach (URL) Tutubalina E. V.
Braslavski P. I.
Kazan (Volga Region) Federal University, Kazan, Russia
Ural Federal University, Yekaterinburg, Russia
Dialogue 2016 Извлечение отношений
Automated Detection Of Adverse Drug Reactions From Social Media Posts With Machine Learning (URL) Tutubalina E. V.
Alimova I. C.
Kazan (Volga Region) Federal University, Kazan, Russia
AIST 2017 Анализ тональности
Clause-Based Approach To Extracting Problem Phrases From User Reviews Of Products (URL) Ivanov Vladimir
Tutubalina E. V.
Tatarstan Academy of Sciences, Russia
Kazan (Volga Region) Federal University, Kazan, Russia
AIST 2014 Извлечение отношений
Wear The Right Head: Comparing Strategies For Encoding Sentences For Aspect Extraction (URL) Nikolenko Sergey
Malyh V. A.
Shenbin I.
Tutubalina E. V.
Alekseev Anton
Neuromation OU
Samsung-PDMI Joint AI Center
Kazan (Volga Region) Federal University, Kazan, Russia
Moscow Institute of Physics and Technology, Moscow, Russia
AIST 2019 Языковые модели
Извлечение отношений
Дистрибутивная семантика
Тематическое моделирование
Biomedical Entities Impact On Rating Prediction For Psychiatric Drugs (URL) Alimova I. C.
Solovev V. D.
Tutubalina E. V.
Samsung-PDMI Joint AI Center
Kazan (Volga Region) Federal University, Kazan, Russia
AIST 2019 Извлечение именованных сущностей
Constructing Aspect-Based Sentiment Lexicons With Topic Modeling (URL) Nikolenko Sergey
Tutubalina E. V.
Steklov Mathematical Institute, St. Petersburg, Russia
Kazan (Volga Region) Federal University, Kazan, Russia
National Research University Higher School of Economics
Deloitte Analytics Institute, Moscow, Russia
AIST 2016 Анализ тональности
A Supervised Approach For Sentirueval Task On Sentiment Analysis Of Tweets About Telecom And Financial Companies (URL) Malyh V. A.
Ivanov V. V.
Tutubalina E. V.
Zagulova M. A.
Institute for Systems Analysis FRC CSC RAS, Moscow, Russia
Tatarstan Academy of Sciences, Russia
Kazan (Volga Region) Federal University, Kazan, Russia
Dialogue 2015 Анализ тональности
Тематическая классификация
Sentirueval: Testing Object-Oriented Sentiment Analysis Systems In Russian (URL) Tutubalina E. V.
Loukachevitch N. V.
Ivanov V. V.
Rubtsova Ju. V.
Blinov P. D.
Kotelnikov E. V.
Lomonosov Moscow State University, Moscow, Russia
Kazan (Volga Region) Federal University, Kazan, Russia
Vyatka State Humanities University, Kirov, Russia
A.P. Ershov Institute of Informatics Systems, Novosibirsk, Russia
Dialogue 2015 Анализ тональности
Извлечение именованных сущностей
Extracting Aspects, Sentiment And Categories Of Aspects In User Reviews About Restaurants And Cars (URL) Alimova I. C.
Ivanov V. V.
Tutubalina E. V.
Mingazov N. R.
Kazan (Volga Region) Federal University, Kazan, Russia
Dialogue 2015 Извлечение отношений
Анализ тональности

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