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Paper Abstract and Keywords
Presentation 2005-03-14 17:30
Effective Answer Extraction from Log Texts in Mutual Support Community
Tatsuya Nakase, Wataru Sunayama, Keihachiro Tachibana (HCU)
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, we can see mutual support community web sites that users can ask and answer questions about daily life. In this community, since there are a lot of answers for each question, it takes too much time to search for the effective answers. Therefore, we propose an answer extraction method for this community. First, we describe the evaluation of useful log text features for answer extraction. By using evaluated features, the system extracts the effective answers. Finally, the system is verified by comparing extracted answers with questioners’ selection.
Keyword (in Japanese) (See Japanese page) 
(in English) answer extraction / quantity of feature extraction / mutual support community / / / / /  
Reference Info. IEICE Tech. Rep., vol. 104, no. 724, KBSE2004-55, pp. 61-66, March 2005.
Paper # KBSE2004-55 
Date of Issue 2005-03-07 (KBSE) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee KBSE  
Conference Date 2005-03-14 - 2005-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To KBSE 
Conference Code 2005-03-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Effective Answer Extraction from Log Texts in Mutual Support Community 
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Keyword(1) answer extraction  
Keyword(2) quantity of feature extraction  
Keyword(3) mutual support community  
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1st Author's Name Tatsuya Nakase  
1st Author's Affiliation Hiroshima City University (HCU)
2nd Author's Name Wataru Sunayama  
2nd Author's Affiliation Hiroshima City University (HCU)
3rd Author's Name Keihachiro Tachibana  
3rd Author's Affiliation Hiroshima City University (HCU)
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Speaker Author-1 
Date Time 2005-03-14 17:30:00 
Presentation Time 40 minutes 
Registration for KBSE 
Paper # KBSE2004-55 
Volume (vol) vol.104 
Number (no) no.724 
Page pp.61-66 
#Pages
Date of Issue 2005-03-07 (KBSE) 


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