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Determining the most frequent senses using Russian linguistic ontology RuThes

Natalia Loukachevitch
Lomonosov Moscow State University, Moscow, Russia

Ilia Chetviorkin
Lomonosov Moscow State University, Moscow, Russia

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Ingår i: Proceedings of the Workshop on Semantic resources and Semantic Annotation for Natural Language Processing and the Digital Humanities at NODALIDA 2015, Vilnius, 11th May, 2015

Linköping Electronic Conference Proceedings 112:4, s. 21–27

NEALT Proceedings Series 27:4, s. 21–27

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Publicerad: 2015-05-06

ISBN: 978-91-7519-049-5

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

The paper describes a supervised approach for the detection of the most frequent senses of words on the basis of RuThes thesaurus, which is a large linguistic ontology for Russian. Due to the large number of monosemous multiword expressions and the set of RuThes relations it is possible to calculate several context features for ambiguous words and to study their contribution to a supervised model for detecting frequent senses.

Nyckelord

lexical sense; lexical disambiguation; linguistic ontology; multiword expressions

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