Presentation 1998/7/24
A Clustering System for Electronic News Articles using Sentense Structure
Yoji Kiyota, Sadao Kurohashi, Jun-ichi Nakamura, Makoto Nagao,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We developed a clustering system for electronic news articles using Kohonen's Self-Organization Map. The advantages of this system are: (1) user can get intended articles by referring a unit which seems to contain them, (2) by parsing sentenses and giving larger weights to some terms using postpositional particles of Japanese, this system can arrange articles to fit to user's purpose. For example, when words followed by postpositional particles "wa" "mo" are given larger weights, news articles are arranged by company names.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) self organization map / clustering / parsing / term weighting / electronic news article / natural language processing
Paper # NLC98-17
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Committee NLC
Conference Date 1998/7/24(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) A Clustering System for Electronic News Articles using Sentense Structure
Sub Title (in English)
Keyword(1) self organization map
Keyword(2) clustering
Keyword(3) parsing
Keyword(4) term weighting
Keyword(5) electronic news article
Keyword(6) natural language processing
1st Author's Name Yoji Kiyota
1st Author's Affiliation Department of Intelligence Science and Technology, Graduate School of Informatics, KYOTO University()
2nd Author's Name Sadao Kurohashi
2nd Author's Affiliation Department of Intelligence Science and Technology, Graduate School of Informatics, KYOTO University
3rd Author's Name Jun-ichi Nakamura
3rd Author's Affiliation Department of Intelligence Science and Technology, Graduate School of Informatics, KYOTO University
4th Author's Name Makoto Nagao
4th Author's Affiliation Department of Intelligence Science and Technology, Graduate School of Informatics, KYOTO University
Date 1998/7/24
Paper # NLC98-17
Volume (vol) vol.98
Number (no) 210
Page pp.pp.-
#Pages 8
Date of Issue