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Paper Abstract and Keywords
Presentation 2007-07-24 14:30
Topic Similarity and Chain Extraction based on Narrativity Structure Model
Makoto Sato, Katsuaki Tanaka, Mina Akaishi, Koichi Hori (Univ. of Tokyo) KBSE2007-12
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an information access method by extracting the topic chains across documents based on Narrativity Structure Model. At first, we define “term dependency matrix” and “term attractiveness vector”, which feature a scene that is a segment of the document and contains a topic. Then, similarity between scenes is calculated as cosine of the angle between term attractiveness vectors. And topic chain relations are found in the similarity. By using this method, the combinations of the scenes that have chain relations between the retrieval words are presented as retrieval results.
Keyword (in Japanese) (See Japanese page) 
(in English) Narrativity Structure Model / Topic chain / Document Similarity / Term Attractiveness Vector / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 159, KBSE2007-12, pp. 19-24, July 2007.
Paper # KBSE2007-12 
Date of Issue 2007-07-17 (KBSE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee KBSE  
Conference Date 2007-07-24 - 2007-07-24 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To KBSE 
Conference Code 2007-07-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Topic Similarity and Chain Extraction based on Narrativity Structure Model 
Sub Title (in English)  
Keyword(1) Narrativity Structure Model  
Keyword(2) Topic chain  
Keyword(3) Document Similarity  
Keyword(4) Term Attractiveness Vector  
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1st Author's Name Makoto Sato  
1st Author's Affiliation University of Tokyo (Univ. of Tokyo)
2nd Author's Name Katsuaki Tanaka  
2nd Author's Affiliation University of Tokyo (Univ. of Tokyo)
3rd Author's Name Mina Akaishi  
3rd Author's Affiliation University of Tokyo (Univ. of Tokyo)
4th Author's Name Koichi Hori  
4th Author's Affiliation University of Tokyo (Univ. of Tokyo)
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Speaker
Date Time 2007-07-24 14:30:00 
Presentation Time 45 
Registration for KBSE 
Paper # IEICE-KBSE2007-12 
Volume (vol) IEICE-107 
Number (no) no.159 
Page pp.19-24 
#Pages IEICE-6 
Date of Issue IEICE-KBSE-2007-07-17 


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