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 with the affiliation: Samsung R&D Institute Russia

Paper title Paper author Affiliation Conference Year Tasks
Combining Neural Language Models For Word Sense Induction url annotation Sheludko B.
Arefyev N. V.
Aleksashina T.
Lomonosov Moscow State University, Moscow, Russia
SlickJump
Samsung R&D Institute Russia
AIST 2019
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Russe’2018: A Shared Task On Word Sense Induction For The Russian Language url annotation Loukachevitch N. V.
Arefyev N. V.
Lopukhin K. A.
Lopukhina A. A.
Leontev A. P.
Panchenko A. I.
Ustalov D. A.
V. V. Vinogradov Russian Language Institute RAS, Moscow, Russia
National Research University Higher School of Economics
Samsung R&D Institute Russia
Krasovskii Institute of Mathematics and Mechanics, Yekaterinburg, Russia
University of Hamburg, Germany
University of Mannheim, Mannheim, Germany
Scrapinghub, Russia
ABBYY, Moscow, Russia
Lomonosov Moscow State University, Moscow, Russia
Dialogue 2018
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
Word2Vec Not Dead: Predicting Hypernyms Of Co-Hyponyms Is Better Than Reading Definitions url annotation Kabanov A.V.
Zizov V.S.
Arefyev N. V.
Fedoseev M.V.
Lomonosov Moscow State University, Moscow, Russia
National Research University Higher School of Economics
Samsung R&D Institute Russia
Dialogue 2020
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Graph-Based Approach In The Dependency Parsing Task For Russian Language url annotation Piontkovskaja I. I.
Muzychka C. A.
Samsung R&D Institute Russia
Dialogue 2015
Show tasks (experimental!) Дистрибутивная семантика
Морфологический анализ
Построение конкордансов
Conditional Random Field In Segmentation And Noun Phrase Inclination Tasks For Russian url annotation Kudinov M. S.
Romanenko A. A.
Piontkovskaja I. I.
Dorodnicyn Computing Centre of RAS
Moscow Institute of Physics and Technology, Moscow, Russia
Samsung R&D Institute Russia
Dialogue 2014
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
Automatic Update Of The Named Entities Database Based On The Users Queries url annotation Kudinov M. S.
Piontkovskaja I. I.
Samsung R&D Institute Russia
Dialogue 2015
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
Morphological Segmentation With Sequence To Sequence Neural Network url annotation Gratsianova T. Y.
Popov K. P.
Arefyev N. V.
Lomonosov Moscow State University, Moscow, Russia
Samsung R&D Institute Russia
Dialogue 2018
Show tasks (experimental!) Морфологический анализ
Построение конкордансов
Дистрибутивная семантика
Conditional Random Field For Morphological Disambiguation In Russian url annotation Romanenko A. A.
Piontkovskaja I. I.
Muzychka C. A.
Lomonosov Moscow State University, Moscow, Russia
Moscow Institute of Physics and Technology, Moscow, Russia
Samsung R&D Institute Russia
Dialogue 2014
Show tasks (experimental!) Морфологический анализ
Дистрибутивная семантика
Построение конкордансов
How Much Does A Word Weight? Weighting Word Embeddings For Word Sense Induction url annotation Ermolaev P.
Panchenko A. I.
Arefyev N. V.
Lomonosov Moscow State University, Moscow, Russia
University of Hamburg, Germany
Samsung R&D Institute Russia
Dialogue 2018
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
Renersans: Relation Extraction And Named Entity Recognition As Sequence Annotation url annotation Davletov A.
Gordeev D.
Rey A.
Arefyev N. V.
Lomonosov Moscow State University, Moscow, Russia
National Research University Higher School of Economics
RANEPA, Moscow, Russia
Samsung R&D Institute Russia
Dialogue 2020
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Извлечение именованных сущностей

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