Presentation 2004/10/29
Text Summarization by Text Structure and Semantic Network
Shuhei EGAMI, Hidetoshi NAGAI, Teigo NAKAMURA, Hirosato NOMURA,
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Abstract(in English) This paper describes a system that makes a summary of an editorial. The system that makes a summary by extracting some sentences cannot eliminate redundant components of the sentence. Thus such a system cannot produce a highly condensed good quality summary. In order to remove such inconvenience, we propose a method which finds important phrases and then constructs the summary from them. Our system analyzes the text structure so that it can recognize a logical stream and a connective relationship of adjacent sentences. And furthermore, it analyzes the similarity between adjacent paragraphs. Based on the result of these analyses, the system construct a summary. According to our examination, our system could generate a better summary than that of the traditional one.
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Paper # NLC2004-24
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Committee NLC
Conference Date 2004/10/29(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Text Summarization by Text Structure and Semantic Network
Sub Title (in English)
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1st Author's Name Shuhei EGAMI
1st Author's Affiliation Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology()
2nd Author's Name Hidetoshi NAGAI
2nd Author's Affiliation Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
3rd Author's Name Teigo NAKAMURA
3rd Author's Affiliation Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
4th Author's Name Hirosato NOMURA
4th Author's Affiliation Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
Date 2004/10/29
Paper # NLC2004-24
Volume (vol) vol.104
Number (no) 417
Page pp.pp.-
#Pages 6
Date of Issue