Presentation 2006/1/6
Important and Explanation Setntences Extraction of Unknown Search Words for Efficient Web Searching
Yasuki TSUZI, Hirokazu WATABE, Tsukasa KAWAOKA,
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Abstract(in English) Now there is a huge amount of information on World Wide Web, and we can get necessary information by using Web search service. On the other hand, "Flood of Information", retrieving with necessary and needless information mixed, became a serious problem. Based on such a background, "Important Sentence Extraction and Multiple Text Summarization" is paid to attention as a technique for acquiring information. In this paper, it proposes the technique, when the user examines the word that the user doesn't know well with Web , for automatically selecting the information sentences explaining the word on Web pages and offering it to the user. On using Web as a dictionary, this technique enables obtaining necessary information without seeing needless Web pages. And, to know more detailed information, the user can get the key words for narrowing from the explanation.
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Paper # AI2005-36
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Committee AI
Conference Date 2006/1/6(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Important and Explanation Setntences Extraction of Unknown Search Words for Efficient Web Searching
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1st Author's Name Yasuki TSUZI
1st Author's Affiliation Department of Knowledge Engineering and Computer Sciences, Doshisha University()
2nd Author's Name Hirokazu WATABE
2nd Author's Affiliation Department of Knowledge Engineering and Computer Sciences, Doshisha University
3rd Author's Name Tsukasa KAWAOKA
3rd Author's Affiliation Department of Knowledge Engineering and Computer Sciences, Doshisha University
Date 2006/1/6
Paper # AI2005-36
Volume (vol) vol.105
Number (no) 510
Page pp.pp.-
#Pages 8
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