RusNLP: Shelmanov A. O.

Space-separated query words: ?One main thing: this is not a full-text word search. It is based on the principle of distributional semantics: having a query vector compiled from the query words, we use cosine distance to find the nearest texts in a bilingual vector space — this is how we search for papers that are close seamantically, regardless of the language and the presence of specific words. If you want to find papers that contain specific words in the title, use the metadata search below.

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Papers by: Shelmanov A. O.

Paper title	Paper author	Affiliation	Conference	Year	Tasks
Rst Discourse Parser For Russian: An Experimental Study Of Deep Learning Models	Kobozeva M. Pisarevskaya Dina Chistova E. V. Toldova S. Ju. Smirnov I. V. Shelmanov A. O. Isakov V. Panchenko A. I.	Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia Skoltech, Moscow, Russia National Research University Higher School of Economics	AIST	2020	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Noun Compositionality Detection Using Distributional Semantics For The Russian Language	Shelmanov A. O. Artemova E. L. Puzyrev D. Panchenko A. I.	Skoltech, Moscow, Russia National Research University Higher School of Economics	AIST	2019	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика
Active Learning With Adaptive Density Weighted Sampling For Information Extraction From Scientiﬁc Papers	Suvorov Roman Shelmanov A. O. Smirnov I. V.	Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia	AINL	2017	Show tasks (experimental!) Построение конкордансов Морфологический анализ Автоматическое реферирование
Methods For Semantic Role Labeling Of Russian Texts	Shelmanov A. O. Smirnov I. V.	Institute for Systems Analysis FRC CSC RAS, Moscow, Russia	Dialogue	2014	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Semantic Role Labeling With Neural Networks For Texts In Russian	Shelmanov A. O. Devyatkin D. A.	Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia	Dialogue	2017	Show tasks (experimental!) Морфологический анализ Дистрибутивная семантика Построение конкордансов
Classification Models For Rst Discourse Parsing Of Texts In Russian	Kobozeva M. Pisarevskaya Dina Chistova E. V. Toldova S. Ju. Smirnov I. V. Shelmanov A. O.	Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia Skoltech, Moscow, Russia RUDN University, Moscow, Russia National Research University Higher School of Economics	Dialogue	2019	Show tasks (experimental!) Морфологический анализ Построение конкордансов Дистрибутивная семантика