Presentation | 2005-05-31 Refinement of Training Examples for Semi-Automated Generation of Keyword Spices Yuki SUZUKI, Hidetomo NABESHIMA, Koji IWANUMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Keyword spice method proposed by Kokubo et al. for building domain-specific web search engine is a good approach which shows high precision and recall. However, in order to extract a keyword spice which dis-tinguishes a specific domain, the approach needs to create by human a training set which consists of 2,000 Web pages, and it requires a great deal of time. In this paper, we propose a new approach for generating a high-precision training set semi-automatically by refining Web pages collected from a directory-type search engine. The experimental results show that a keyword spice generated by our approach achieves a good performance comparable as a handmade one. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | refinement of training examples / special purpose search engine / keyword spices |
Paper # | AI2005-6 |
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Committee | AI |
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Conference Date | 2005/5/24(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) | Refinement of Training Examples for Semi-Automated Generation of Keyword Spices |
Sub Title (in English) | |
Keyword(1) | refinement of training examples |
Keyword(2) | special purpose search engine |
Keyword(3) | keyword spices |
1st Author's Name | Yuki SUZUKI |
1st Author's Affiliation | Department of Computer Science and Media Engineering, University of Yamanashi() |
2nd Author's Name | Hidetomo NABESHIMA |
2nd Author's Affiliation | Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi |
3rd Author's Name | Koji IWANUMA |
3rd Author's Affiliation | Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi |
Date | 2005-05-31 |
Paper # | AI2005-6 |
Volume (vol) | vol.105 |
Number (no) | 105 |
Page | pp.pp.- |
#Pages | 5 |
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