Presentation 2001/3/16
Discriminant Analysis with Incomplete Data and its Application to Estimation of Words' Cooccurrency
Yoichi _Tomiura, Shosaku Tanaka, Toru Hitaka,
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Abstract(in English) If tuples of words which are able to cooccur are known sufficiently, it is possible to disambiguate syntactic structures of a sentence. But such tuples are too many to collect sufficiently even using a huge syntactically analized corpus. This paper proposes a new method for estimating cooccurrency of tuples of words with a syntactically analized corpus based on an cxtension of the discriminant analysis.
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Keyword(in English) Natural Language Processing / Syntactic Analysis / Disambiguation of Syntactic structures / Coocurrency / Multivariate Analysis
Paper # TL2000-41,NLC2000-76
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Committee NLC
Conference Date 2001/3/16(1days)
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Paper Information
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) Discriminant Analysis with Incomplete Data and its Application to Estimation of Words' Cooccurrency
Sub Title (in English)
Keyword(1) Natural Language Processing
Keyword(2) Syntactic Analysis
Keyword(3) Disambiguation of Syntactic structures
Keyword(4) Coocurrency
Keyword(5) Multivariate Analysis
1st Author's Name Yoichi _Tomiura
1st Author's Affiliation Graduate School of Information Science and Electrical Engineering. Kyushu University()
2nd Author's Name Shosaku Tanaka
2nd Author's Affiliation Graduate School of Information Science and Electrical Engineering. Kyushu University
3rd Author's Name Toru Hitaka
3rd Author's Affiliation Graduate School of Information Science and Electrical Engineering. Kyushu University
Date 2001/3/16
Paper # TL2000-41,NLC2000-76
Volume (vol) vol.100
Number (no) 700
Page pp.pp.-
#Pages 8
Date of Issue