Presentation | 2006-07-13 Person Identification by Proper Noun Clauses on the Web Naoki MUKAIDA, Keishi TAJIMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | When we retrieve Web pages by using a person name as query keywords, the result often includes pages about other persons of the same name. One well-known approach to this problem is to classify the result pages into page groups corresponding to those persons with the same name by using clustering techniques based on the page contents to the search result. In this paper, we propose a method to improve the accuracy of such clustering by giving bigger weight values to the proper noun clauses related to the target person, and also propose a method to discover such related proper noun clauses appearing in the search results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Web retrieval / information retrieval / query by pserson name / person identification / object identification |
Paper # | DE2006-76 |
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Committee | DE |
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Conference Date | 2006/7/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Person Identification by Proper Noun Clauses on the Web |
Sub Title (in English) | |
Keyword(1) | Web retrieval |
Keyword(2) | information retrieval |
Keyword(3) | query by pserson name |
Keyword(4) | person identification |
Keyword(5) | object identification |
1st Author's Name | Naoki MUKAIDA |
1st Author's Affiliation | School of Information Science, Japan Advanced Institute of Science And Technology() |
2nd Author's Name | Keishi TAJIMA |
2nd Author's Affiliation | School of Information Science, Japan Advanced Institute of Science And Technology:Graduate School of Informatics, Kyoto University |
Date | 2006-07-13 |
Paper # | DE2006-76 |
Volume (vol) | vol.106 |
Number (no) | 149 |
Page | pp.pp.- |
#Pages | 6 |
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