Presentation 2004/7/8
A Page Fusion Method using Case Grammar
Takuya WATANABE, Manabu OHTA, Kaoru KATAYAMA, Hiroshi ISHIKAWA,
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Abstract(in English) Multi-document summarization techniques are researched to get information efficiently from a huge amount of text data. We have already proposed techniques which use morphological analysis and dependency structure analysis, extract semantic information from documents and integrate it into pseudo natural language. In this article, combined this Multi-Document Fusion method and case grammar, and aimed at an improvement of fusion precision and readability. If understanding a word concept is required to analyze deep case, we guess it using search engine's hit counts.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Multi-Document Fusion / Multi-Document Summary / Case Grammar
Paper # DE2004-97
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Committee DE
Conference Date 2004/7/8(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Page Fusion Method using Case Grammar
Sub Title (in English)
Keyword(1) Multi-Document Fusion
Keyword(2) Multi-Document Summary
Keyword(3) Case Grammar
1st Author's Name Takuya WATANABE
1st Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University()
2nd Author's Name Manabu OHTA
2nd Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University
3rd Author's Name Kaoru KATAYAMA
3rd Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University
4th Author's Name Hiroshi ISHIKAWA
4th Author's Affiliation Graduate School of Engineering, Tokyo Metropolitan University
Date 2004/7/8
Paper # DE2004-97
Volume (vol) vol.104
Number (no) 178
Page pp.pp.-
#Pages 6
Date of Issue