Combining local and global features in supervised word sense disambiguation

Xue Lei, Yi Cai, Qing Li, Haoran Xie, Ho fung Leung, Fu Lee Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Word Sense Disambiguation (WSD) is a task to identify the sense of a polysemy in given context. Recently, word embeddings are applied to WSD, as additional input features of a supervised classifier. However, previous approaches narrowly use word embeddings to represent surrounding words of target words. They may not make sufficient use of word embeddings in representing different features like dependency relations, word order and global contexts (the whole document). In this work, we combine local and global features to perform WSD. We explore utilizing word embeddings to leverage word order and dependency features. We also use word embeddings to represent global contexts as global features. We conduct experiments to evaluate our methods and find out that our methods outperform the state-of-the-art methods on Lexical Sample WSD datasets.

Original languageEnglish
Title of host publicationWeb Information Systems Engineering – WISE 2017 - 18th International Conference, Proceedings
EditorsWeijia Jia, Andrey Klimenko, Fedor Dzerzhinskiy, Stanislav V. Klimenko, Lu Chen, Qing Li, Yunjun Gao, Athman Bouguettaya, Xiangliang Zhang
PublisherSpringer-Verlag
Pages117-131
Number of pages15
ISBN (Print)9783319687858
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event18th International Conference on Web Information Systems Engineering, WISE 2017 - Puschino, Russian Federation
Duration: 7 Oct 201711 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10570 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Web Information Systems Engineering, WISE 2017
CountryRussian Federation
CityPuschino
Period7/10/1711/10/17

Keywords

  • Natural language processing
  • Word embeddings
  • Word sense disambiguation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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