Presentation 1994/10/21
Word-Sense Disambiguation Using the Extracted Polysemous Information from Corpora
Fumiyo Fukumoto, Jun'ichi Tsujii,
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Abstract(in English) In this paper,we focus on the problem that an appropriate definition of polysemy in terms of distributional behaviours of words in monolingual texts and propose a method for disambiguating word-senses in sentences containing occurrences of polysemous verbs.We first give a definition of polysemy from the viewpoint of clustering.Then we propose an overlapping clustering method which automatically recognises verbal polysemies and extracts their information from a textual corpus and finally,using the extracted polysemous information,we propose a method for disambiguating word- senses in sentences containing occurrences of polysemous verbs.The results of the experiments demonstrate the effectiveness of our proposed methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Corpus-based NLP / Statistical corpus-based approach / polysemy / overlapping clustering method / word-sense disambiguation / Mutual Information
Paper # NLC94-24
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Committee NLC
Conference Date 1994/10/21(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Word-Sense Disambiguation Using the Extracted Polysemous Information from Corpora
Sub Title (in English)
Keyword(1) Corpus-based NLP
Keyword(2) Statistical corpus-based approach
Keyword(3) polysemy
Keyword(4) overlapping clustering method
Keyword(5) word-sense disambiguation
Keyword(6) Mutual Information
1st Author's Name Fumiyo Fukumoto
1st Author's Affiliation Department of Electrical Engineering and Computer Science,Faculty of Engineering,Yamanashi University()
2nd Author's Name Jun'ichi Tsujii
2nd Author's Affiliation Centre for Computational Linquistics,UMIST
Date 1994/10/21
Paper # NLC94-24
Volume (vol) vol.94
Number (no) 292
Page pp.pp.-
#Pages 8
Date of Issue