| Paper title |
Paper author |
Affiliation |
Conference |
Year |
Tasks |
Similarity |
|
Language Model Embeddings Improve Sentiment Analysis In Russian
(URL)
|
Burtsev M. S.
Baymurzina D. R.
Kuznetsov D. P.
|
Moscow Institute of Physics and Technology, Moscow, Russia
|
Dialogue
|
2019
|
Дистрибутивная семантика
Морфологический анализ
Построение конкордансов
|
0.9853
|
|
Character-Level Convolutional Neural Network For Paraphrase Detection And Other Experiments
(URL)
|
Maraev Vladislav
Branco António
Silva João
Rodrigues João
Saedi Chakaveh
|
Department of Informatics, Faculty of Sciences, University of Lisbon, Portugal
|
AINL
|
2017
|
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
0.9851
|
|
Application Of A Hybrid Bi-Lstm-Crf Model To The Task Of Russian Named Entity Recognition
(URL)
|
Burtsev M. S.
Arkhipov M. Y.
Anh L. T.
|
Vietnam Maritime University, Hai Phong, Viet Nam
Moscow Institute of Physics and Technology, Moscow, Russia
|
AINL
|
2017
|
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
0.9849
|
|
Smart Context Generation For Disambiguation To Wikipedia
(URL)
|
Sysoev A. A.
Nikishina I.
|
Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
National Research University Higher School of Economics
|
AINL
|
2018
|
Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
|
0.9845
|
|
Improving Distributional Semantic Models Using Anaphora Resolution During Linguistic Preprocessing
(URL)
|
Kutuzov A. B.
Koslowa O.
|
University of Oslo, Norway
National Research University Higher School of Economics
|
Dialogue
|
2016
|
Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
|
0.9837
|
|
Named Entity Recognition In Russian With Word Representation Learned By A Bidirectional Language Model
(URL)
|
Filchenkov Andrey
Konoplich G.
Putin E.
Rybka R. B.
|
National Research Centre “Kurchatov Institute”, Moscow, Russia
ITMO University, Saint-Petersburg, Russia
|
AINL
|
2018
|
Дистрибутивная семантика
Морфологический анализ
Построение конкордансов
|
0.9836
|
|
Coreference Resolution For Russian: The Impact Of Semantic Features
(URL)
|
Toldova S. Ju.
Ionov M.
|
Lomonosov Moscow State University, Moscow, Russia
National Research University Higher School of Economics
|
Dialogue
|
2017
|
Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
|
0.9836
|
|
Predicting The Age Of Social Network Users From User-Generated Texts With Word Embeddings
(URL)
|
Nikolenko Sergey
Alekseev Anton
|
Steklov Mathematical Institute, St. Petersburg, Russia
Kazan (Volga Region) Federal University, Kazan, Russia
|
AINL
|
2016
|
Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
|
0.9833
|
|
Coreference Resolution In Russian: State-Of-The-Art Approaches Application And Evolvement
(URL)
|
Sysoev A. A.
Andrianov I. A.
Khadzhiiskaia A. Y.
|
Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
|
Dialogue
|
2017
|
Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
|
0.9832
|
|
Wear The Right Head: Comparing Strategies For Encoding Sentences For Aspect Extraction
(URL)
|
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
|
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
0.9831
|
