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1504.08183
Cited By
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"
7 / 7 papers shown
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach
O. Palagin
V. Velychko
Kyrylo S. Malakhov
O. Shchurov
171
14
0
06 Mar 2020
WSD algorithm based on a new method of vector-word contexts proximity calculation via epsilon-filtration
A. Kirillov
N. Krizhanovskaya
Andrew Krizhanovsky
112
0
0
24 May 2018
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language
Sergey Petrakov
A. Lopukhina
Dmitry Ustalov
K. Lopukhin
N. Arefyev
A. Leontyev
Natalia Loukachevitch
196
36
0
15 Mar 2018
Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus
Andrey Kutuzov
M. Kunilovskaya
179
11
0
19 Jan 2018
Rotations and Interpretability of Word Embeddings: the Case of the Russian Language
Alexey Zobnin
165
12
0
14 Jul 2017
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
322
220
0
01 Jun 2017
Gibberish Semantics: How Good is Russian Twitter in Word Semantic Similarity Task?
N. N. Vasiliev
80
1
0
28 Feb 2016
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