Supervised Approach to Finding Most Frequent Senses in Russian

Conference paper
First Online:
Part of the Communications in Computer and Information Science book series (CCIS, volume 542)

Abstract

The paper describes a supervised approach for the detection of the most frequent sense 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 in a supervised model for detecting frequent senses.

Keywords

Lexical senses Automatic sense disambiguation The most frequent sense 
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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Research Computing Center of Lomonosov Moscow State UniversityMoscowRussia
  2. 2.Lomonosov Moscow State UniversityMoscowRussia

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