Заголовок |
Автор |
Аффилиация |
Конференция |
Год |
Задачи |
Близость к запросу |
Deep Recurrent Neural Networks For Multiple Language Aspect-Based Sentiment Analysis Of User Reviews
(URL)
|
Tarasov D. S.
|
Reviewdot research, Kazan, Russia
|
Dialogue
|
2015
|
Извлечение именованных сущностей
Тематическое моделирование
Извлечение отношений
|
0.9898
|
Phrase-Based Attentional Transformer For Headline Generation
(URL)
|
Sokolov A. M.
|
Saint-Petersburg State University, Saint-Petersburg, Russia
|
Dialogue
|
2019
|
Извлечение именованных сущностей
|
0.9891
|
Framework For Russian Plagiarism Detection Using Sentence Embedding Similarity And Negative Sampling
(URL)
|
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
|
-
|
0.9885
|
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
|
Извлечение именованных сущностей
|
0.9883
|
Improving Neural Network Models For Natural Language Processing In Russian With Synonyms
(URL)
|
Nikolenko Sergey
Alekseev Anton
Galinsky Ruslan
|
Steklov Mathematical Institute, St. Petersburg, Russia
Kazan (Volga Region) Federal University, Kazan, Russia
|
AINL
|
2016
|
Извлечение именованных сущностей
|
0.9881
|
A High Precision Method For Aspect Extraction In Russian
(URL)
|
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
|
Извлечение именованных сущностей
|
0.9881
|
Interpretable Probabilistic Embeddings: Bridging The Gap Between Topic Models And Neural Networks
(URL)
|
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
|
Извлечение именованных сущностей
Тематическое моделирование
|
0.9880
|
An Approach To Customization Of Pre-Trained Neural Network Language Model To Specific Domain
(URL)
|
Dudarin P. V.
Tronin V. G.
Svyatov K. V.
|
Ulyanovsk State Technical University, Ulyanovsk, Russia
|
Dialogue
|
2019
|
Извлечение именованных сущностей
|
0.9878
|
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
|
Извлечение именованных сущностей
|
0.9878
|
Cross-Language Text Alignment For Plagiarism Detection Based On Contextual And Context-Free Models
(URL)
|
Zubarev D. V.
Sochenkov I. V.
|
Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia
Skoltech, Moscow, Russia
|
Dialogue
|
2019
|
-
|
0.9877
|