Presentation 1998/12/10
Evaluation of Methods to Extract Collocational Information from Corpus of Semantic Clustering of Japanese Polysemous Verbs
Hiroko Yokoyama, Shin'ichiro Omachi, Hirotomo Aso,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, many statistical approaches for acquiring knowledge of word meaning, especially using collocational information from text corpora, have been investigated. In this paper, we propose a semantic clustering method of Japanese polysemous verbs collocational information obtained from Japanese monolingual corpus. This method has two features. One is to observe global contexts and the other is to utilize words not only arguments(case fillers)ofa verb, but also utilize other nouns co-occur with the verb to get collocational information. This paper compares our method with other previous approaches and evaluates their results, and the results indicate our method is the most effective.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) clustering / polysemous verb / collocational information
Paper # NLC98-33,SP98-97
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Committee NLC
Conference Date 1998/12/10(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) Evaluation of Methods to Extract Collocational Information from Corpus of Semantic Clustering of Japanese Polysemous Verbs
Sub Title (in English)
Keyword(1) clustering
Keyword(2) polysemous verb
Keyword(3) collocational information
1st Author's Name Hiroko Yokoyama
1st Author's Affiliation Graduate School of Engineering, Tohoku University()
2nd Author's Name Shin'ichiro Omachi
2nd Author's Affiliation Graduate School of Engineering, Tohoku University
3rd Author's Name Hirotomo Aso
3rd Author's Affiliation Graduate School of Engineering, Tohoku University
Date 1998/12/10
Paper # NLC98-33,SP98-97
Volume (vol) vol.98
Number (no) 460
Page pp.pp.-
#Pages 8
Date of Issue