Synonymy graph connectivity in graph-based word sense induction

Chernoskutov, Mikhail ; Ustalov, Dmitry

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Document Type: Conference or workshop publication
Year of publication: 2017
Book title: 2017 SSDSE : 2017 Siberian Symposium on Data Science and Engineering (SSDSE) : Novosibirsk, Akademgorodok, Russia, 12-13 Apr 2017
Page range: 14-17
Conference title: 2017 Siberian Symposium on Data Science and Engineering (SSDSE)
Location of the conference venue: Novosibirsk, Russia
Date of the conference: April 12-13, 2017
Publisher: Goncharov, Sergey
Place of publication: Piscataway, NJ
Publishing house: IEEE
ISBN: 978-1-5386-1594-2 , 978-1-5386-1593-5 , 978-1-5386-1592-8
Publication language: English
Institution: School of Business Informatics and Mathematics > Information Systems III: Enterprise Data Analysis (Ponzetto 2016-)
Subject: 004 Computer science, internet
Abstract: In this paper, we present an approach for synonymy graph augmentation. The approach is based on the equivalence property of the synonymy relation and implies the addition of the missing transitive edges between the potential synonyms in the input synonymy graph. We also conduct the preliminary evaluation of this approach on two datasets for the Russian language and show that it does increase the quality of the graph clustering comparing to the non-augmented input graph.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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ORCID: Chernoskutov, Mikhail ; Ustalov, Dmitry ORCID: 0000-0002-9979-2188

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