«Deep Recurrent Neural Networks For Multiple Language Aspect-Based Sentiment Analysis Of User Reviews»

Tarasov D. S.;
Reviewdot research, Kazan, Russia;

Dialogue, 2015

Number of results:

Similar publications:

Paper title Paper author Affiliation Conference Year Similarity Tasks
Improving Results On Russian Sentiment Datasets url annotation Loukachevitch N. V.
Golubev A.
Lomonosov Moscow State University, Moscow, Russia
Bauman Moscow State Technical University, Moscow, Russia
AINL 2020 0.9908
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Russian Q&A Method Study: From Naive Bayes To Convolutional Neural Networks url annotation Malafeev Alexey
Nikolaev Kirill
National Research University Higher School of Economics
AIST 2018 0.9908
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Wear The Right Head: Comparing Strategies For Encoding Sentences For Aspect Extraction url annotation Nikolenko Sergey
Tutubalina E. V.
Shenbin I.
Alekseev Anton
Malyh V. A.
Neuromation OU
Samsung-PDMI Joint AI Center
Kazan (Volga Region) Federal University, Kazan, Russia
Moscow Institute of Physics and Technology, Moscow, Russia
AIST 2019 0.9900
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
Comparison Of Neural Network Architectures For Sentiment Analysis Of Russian Tweets url annotation Skorniakov K.
Turdakov D.
Gomzin A.
Trofimovich J.
Arkhipenko K.
Kozlov I.
Lomonosov Moscow State University, Moscow, Russia
Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
National Research University Higher School of Economics
Moscow Institute of Physics and Technology, Moscow, Russia
Dialogue 2016 0.9891
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
Experimental Comparison Of Unsupervised Approaches In The Task Of Separating Specializations Within Professions In Job Vacancies url annotation Ryazanov I.
Botov Dmitry
Nikolaev I.
Vinel M.
Chelyabinsk state university, Russia
AINL 2019 0.9890
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
Character-Level Convolutional Neural Network For Paraphrase Detection And Other Experiments url annotation Maraev Vladislav
Branco António
Silva João
Rodrigues João
Saedi Chakaveh
Department of Informatics, Faculty of Sciences, University of Lisbon, Portugal
AINL 2017 0.9884
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
Sentiment Analysis Of Telephone Conversations Using Multimodal Data url annotation Logumanov A. G.
Klenin Julius
Chelyabinsk state university, Russia
AIST 2018 0.9878
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Evaluation Of Sentence Embedding Models For Natural Language Understanding Problems In Russian url annotation Artemova E. L.
Popov D.
Pugachev A.
Svyatokum P.
Svitanko E.
National Research University Higher School of Economics
AIST 2019 0.9872
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
Active Learning With Adaptive Density Weighted Sampling For Information Extraction From Scientific Papers url annotation Suvorov Roman
Shelmanov A. O.
Smirnov I. V.
Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia
AINL 2017 0.9872
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
A High Precision Method For Aspect Extraction In Russian url annotation Avanesov V.
Andrianov I. A.
Turdakov D.
Astrahantsev N. A.
Majorov V. D.
Kozlov I.
Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
Dialogue 2015 0.9869
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика

Creative Commons License
RusNLP by https://nlp.rusvectores.org is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.