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 Japanese) | (See Japanese page) |
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 |
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Conference Date | 2006/1/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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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