«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

Paper title	Paper author	Affiliation	Conference	Year	Similarity	Tasks
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	0.9921	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
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	0.9920	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Improving Part-Of-Speech Tagging Via Multi-Task Learning And Character-Level Word Representations	Anastasyev D. G. Gusev I. O. Indenbom E. M.	ABBYY, Moscow, Russia Moscow Institute of Physics and Technology, Moscow, Russia	Dialogue	2018	0.9902	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	0.9895	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика 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	0.9894	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Comparing Models Of Morpheme Analysis For Russian Words Based On Machine Learning	Sapin A. S. Bolshakova E. I.	Lomonosov Moscow State University, Moscow, Russia National Research University Higher School of Economics	Dialogue	2019	0.9889	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
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	0.9888	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	0.9888	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Exploring Pretrained Models For Joint Morpho-Syntactic Parsing Of Russian	Anastasyev D. G.	Yandex, Moscow, Russia	Dialogue	2020	0.9865	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
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	0.9863	Show tasks (experimental!) Дистрибутивная семантика Морфологический анализ Построение конкордансов