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2015 | OriginalPaper | Chapter

Supervised Approach to Finding Most Frequent Senses in Russian

Authors : Natalia Loukachevitch, Ilia Chetviorkin

Published in: Analysis of Images, Social Networks and Texts

Publisher: Springer International Publishing

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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.

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previous chapter Semantic Role Labeling for Russian Language Based on Russian FrameBank

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Title: Supervised Approach to Finding Most Frequent Senses in Russian
Authors: Natalia Loukachevitch
Ilia Chetviorkin
Publisher: Springer International Publishing
Book: Analysis of Images, Social Networks and Texts
Print ISBN: 978-3-319-26122-5

Electronic ISBN: 978-3-319-26123-2

Copyright Year: 2015
DOI: https://doi.org/10.1007/978-3-319-26123-2_33

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