@inproceedings{loukachevitch-gerasimova-2019-linking,
title = "Linking {R}ussian {W}ordnet {R}u{W}ord{N}et to {W}ord{N}et",
author = "Loukachevitch, Natalia and
Gerasimova, Anastasia",
editor = "Vossen, Piek and
Fellbaum, Christiane",
booktitle = "Proceedings of the 10th Global Wordnet Conference",
month = jul,
year = "2019",
address = "Wroclaw, Poland",
publisher = "Global Wordnet Association",
url = "https://aclanthology.org/2019.gwc-1.9",
pages = "64--71",
abstract = "In this paper we consider the linking procedure of Russian wordnet (RuWordNet) to Wordnet. The specificity of the procedure in our case is based on the fact that a lot of bilingual (Russian and English) lexical data have been gathered in another Russian thesaurus RuThes, which has a different structure than WordNet. Previously, RuThes has been semi-automatically transformed into RuWordNet, having the WordNet-like structure. Now, the RuThes English data are utilized to establish matching from the RuWordNet synsets to the WordNet synsets.",
}
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<abstract>In this paper we consider the linking procedure of Russian wordnet (RuWordNet) to Wordnet. The specificity of the procedure in our case is based on the fact that a lot of bilingual (Russian and English) lexical data have been gathered in another Russian thesaurus RuThes, which has a different structure than WordNet. Previously, RuThes has been semi-automatically transformed into RuWordNet, having the WordNet-like structure. Now, the RuThes English data are utilized to establish matching from the RuWordNet synsets to the WordNet synsets.</abstract>
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%0 Conference Proceedings
%T Linking Russian Wordnet RuWordNet to WordNet
%A Loukachevitch, Natalia
%A Gerasimova, Anastasia
%Y Vossen, Piek
%Y Fellbaum, Christiane
%S Proceedings of the 10th Global Wordnet Conference
%D 2019
%8 July
%I Global Wordnet Association
%C Wroclaw, Poland
%F loukachevitch-gerasimova-2019-linking
%X In this paper we consider the linking procedure of Russian wordnet (RuWordNet) to Wordnet. The specificity of the procedure in our case is based on the fact that a lot of bilingual (Russian and English) lexical data have been gathered in another Russian thesaurus RuThes, which has a different structure than WordNet. Previously, RuThes has been semi-automatically transformed into RuWordNet, having the WordNet-like structure. Now, the RuThes English data are utilized to establish matching from the RuWordNet synsets to the WordNet synsets.
%U https://aclanthology.org/2019.gwc-1.9
%P 64-71
Markdown (Informal)
[Linking Russian Wordnet RuWordNet to WordNet](https://aclanthology.org/2019.gwc-1.9) (Loukachevitch & Gerasimova, GWC 2019)
ACL