Paper title |
Paper author |
Affiliation |
Conference |
Year |
Similarity |
Tasks |
Exploring Pretrained Models For Joint Morpho-Syntactic Parsing Of Russian
|
Anastasyev D. G.
|
Yandex, Moscow, Russia
|
Dialogue
|
2020
|
0.9929
|
Show tasks (experimental!)
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
Improving Neural Morphological Tagging Using Language Models
|
Sorokin A. A.
|
Lomonosov Moscow State University, Moscow, Russia
Moscow Institute of Physics and Technology, Moscow, Russia
|
Dialogue
|
2018
|
0.9923
|
Show tasks (experimental!)
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
Morphological Parsing Of Low‑Resource Languages
|
Sorokin A. A.
|
Lomonosov Moscow State University, Moscow, Russia
Moscow Institute of Physics and Technology, Moscow, Russia
|
Dialogue
|
2019
|
0.9919
|
Show tasks (experimental!)
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
Part-Of-Speech Tagging With Rich Language Description
|
Anastasyev D. G.
Andrianov A. I.
Indenbom E. M.
|
ABBYY, Moscow, Russia
|
Dialogue
|
2017
|
0.9906
|
Show tasks (experimental!)
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
Deep Convolutional Networks For Supervised Morpheme Segmentation Of Russian Language
|
Kravtsova A.
Sorokin A. A.
|
Lomonosov Moscow State University, Moscow, Russia
Moscow Institute of Physics and Technology, Moscow, Russia
|
AINL
|
2018
|
0.9902
|
Show tasks (experimental!)
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
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
|
0.9901
|
Show tasks (experimental!)
Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
|
Named Entity Recognition In Russian With Word Representation Learned By A Bidirectional Language Model
|
Filchenkov Andrey
Konoplich G.
Putin E.
Rybka R. B.
|
National Research Centre “Kurchatov Institute”, Moscow, Russia
ITMO University, Saint-Petersburg, Russia
|
AINL
|
2018
|
0.9898
|
Show tasks (experimental!)
Дистрибутивная семантика
Морфологический анализ
Построение конкордансов
|
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
|
0.9897
|
Show tasks (experimental!)
Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
|
Bi-Lstm Model For Morpheme Segmentation Of Russian Words
|
Sapin A. S.
Bolshakova E. I.
|
Lomonosov Moscow State University, Moscow, Russia
National Research University Higher School of Economics
|
AINL
|
2019
|
0.9896
|
Show tasks (experimental!)
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|
Research Of A Deep Learning Neural Network Effectiveness For A Morphological Parser Of Russian Language
|
Moloshnikov I. A.
Voronina I.
Gudovskikh D. V.
Rybka R. B.
Ivanov I.
Sboev A. G.
|
National Research Centre “Kurchatov Institute”, Moscow, Russia
National Research Nuclear University «MEPhI», Moscow, Russia
Moscow Technological University (MIREA)
Voronezh State University, Russian Federation
|
Dialogue
|
2017
|
0.9886
|
Show tasks (experimental!)
Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
|