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Texts in, meaning out: neural language models in semantic similarity
  task for Russian

Texts in, meaning out: neural language models in semantic similarity task for Russian

30 April 2015
Andrey Kutuzov
Igor Andreev
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Papers citing "Texts in, meaning out: neural language models in semantic similarity task for Russian"

3 / 3 papers shown
Title
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian
  Language
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language
Alexander Panchenko
A. Lopukhina
Dmitry Ustalov
K. Lopukhin
N. Arefyev
A. Leontyev
Natalia Loukachevitch
8
35
0
15 Mar 2018
Semantic Specialisation of Distributional Word Vector Spaces using
  Monolingual and Cross-Lingual Constraints
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
N. Mrksic
Ivan Vulić
Diarmuid Ó Séaghdha
Ira Leviant
Roi Reichart
Milica Gasic
Anna Korhonen
S. Young
29
224
0
01 Jun 2017
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
87
2,980
0
04 Mar 2010
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