| Paper title |
Paper author |
Affiliation |
Conference |
Year |
Similarity |
Tasks |
Russian Q&A Method Study: From Naive Bayes To Convolutional Neural Networks
|
Malafeev Alexey
Nikolaev Kirill
|
National Research University Higher School of Economics
|
AIST
|
2018
|
0.9894
|
Show tasks (experimental!)
Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
|
|
Framework For Russian Plagiarism Detection Using Sentence Embedding Similarity And Negative Sampling
|
Belyy A. V.
Dubova Marina
|
Tochka Bank QIWI Bank, Yekaterinburg, Russia
Saint-Petersburg State University, Saint-Petersburg, Russia
ITMO University, Saint-Petersburg, Russia
|
Dialogue
|
2018
|
0.9878
|
Show tasks (experimental!)
Морфологический анализ
Построение конкордансов
Автоматическое реферирование
|
|
Deep Recurrent Neural Networks For Multiple Language Aspect-Based Sentiment Analysis Of User Reviews
|
Tarasov D. S.
|
Reviewdot research, Kazan, Russia
|
Dialogue
|
2015
|
0.9872
|
Show tasks (experimental!)
Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
|
|
Exploring Pretrained Models For Joint Morpho-Syntactic Parsing Of Russian
|
Anastasyev D. G.
|
Yandex, Moscow, Russia
|
Dialogue
|
2020
|
0.9871
|
Show tasks (experimental!)
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
|
Improving Results On Russian Sentiment Datasets
|
Loukachevitch N. V.
Golubev A.
|
Lomonosov Moscow State University, Moscow, Russia
Bauman Moscow State Technical University, Moscow, Russia
|
AINL
|
2020
|
0.9868
|
Show tasks (experimental!)
Построение конкордансов
Морфологический анализ
Автоматическое реферирование
|
|
Danetqa: A Yes/No Question Answering Dataset For The Russian Language
|
Fenogenova A. S.
Artemova E. L.
Shavrina T. O.
Machnev A.
Ignatov D. I.
Glushkova T.
|
Sberbank, Moscow
National Research University Higher School of Economics
|
AIST
|
2020
|
0.9864
|
Show tasks (experimental!)
Построение конкордансов
Автоматическое реферирование
Морфологический анализ
|
|
Experimental Comparison Of Unsupervised Approaches In The Task Of Separating Specializations Within Professions In Job Vacancies
|
Ryazanov I.
Botov Dmitry
Nikolaev I.
Vinel M.
|
Chelyabinsk state university, Russia
|
AINL
|
2019
|
0.9863
|
Show tasks (experimental!)
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
|
Interpretable Probabilistic Embeddings: Bridging The Gap Between Topic Models And Neural Networks
|
Popov A. M.
Vorontsov K. V.
Potapenko A. A.
|
Lomonosov Moscow State University, Moscow, Russia
National Research University Higher School of Economics
Moscow Institute of Physics and Technology, Moscow, Russia
|
AINL
|
2017
|
0.9862
|
Show tasks (experimental!)
Дистрибутивная семантика
Построение конкордансов
Морфологический анализ
|
|
Morphological Segmentation With Sequence To Sequence Neural Network
|
Gratsianova T. Y.
Popov K. P.
Arefyev N. V.
|
Lomonosov Moscow State University, Moscow, Russia
Samsung R&D Institute Russia
|
Dialogue
|
2018
|
0.9859
|
Show tasks (experimental!)
Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
|
|
Wear The Right Head: Comparing Strategies For Encoding Sentences For Aspect Extraction
|
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
|
0.9856
|
Show tasks (experimental!)
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
