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Paper Abstract and Keywords
Presentation 2009-09-14 11:20
Automatic Summarization Based on Extracting Important Sentences -- An Experiment and Analysis on Fluctuation of Deciding Whether or Not this Sentence Is Important --
Shiori Yamamoto, Kazuhiro Uenosono, Keigo Nakamura, Kiyomi Shirakawa, Hideji Enokizu, Seiichi Komiya (Shibaura Inst. of Tech.) KBSE2009-19
Abstract (in Japanese) (See Japanese page) 
(in English) The authors aim at realizing automatic summarization of tales of old Japan such as Momotaro, Kachikachiyama, etc. from the viewpoint of important sentences. Akashi et al [1] tried to create a model of the process, which human understood
the text of above-mentioned tales, on the basis of the Van Dijk's model[3]. In the text summarization process, however, they detected the following fact: Some persons insisted that this sentence should be deleted for summarization, but other persons that the same sentence should be not deleted. This case was not so rare instance. Therefore, the authors carried out an experiment to investigate where does the above-mentioned case come from. This paper describes an experimental methodology and a result of the experiment．
Keyword (in Japanese) (See Japanese page) 
(in English) Automatic Summarization / Extracting Important Sentences / Event Indexing Model / Breaking of Continuity / Quantification Method of the Second Type / Fluctuation of Deciding / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 196, KBSE2009-19, pp. 13-18, Sept. 2009.
Paper # KBSE2009-19 
Date of Issue 2009-09-07 (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)
Download PDF KBSE2009-19

Conference Information
Committee KBSE  
Conference Date 2009-09-14 - 2009-09-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Hanoi University of Technology, Hanoi, Vietnam 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To KBSE 
Conference Code 2009-09-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Summarization Based on Extracting Important Sentences 
Sub Title (in English) An Experiment and Analysis on Fluctuation of Deciding Whether or Not this Sentence Is Important 
Keyword(1) Automatic Summarization  
Keyword(2) Extracting Important Sentences  
Keyword(3) Event Indexing Model  
Keyword(4) Breaking of Continuity  
Keyword(5) Quantification Method of the Second Type  
Keyword(6) Fluctuation of Deciding  
Keyword(7)  
Keyword(8)  
1st Author's Name Shiori Yamamoto  
1st Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
2nd Author's Name Kazuhiro Uenosono  
2nd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
3rd Author's Name Keigo Nakamura  
3rd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
4th Author's Name Kiyomi Shirakawa  
4th Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
5th Author's Name Hideji Enokizu  
5th Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
6th Author's Name Seiichi Komiya  
6th Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
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Speaker Author-1 
Date Time 2009-09-14 11:20:00 
Presentation Time 40 minutes 
Registration for KBSE 
Paper # KBSE2009-19 
Volume (vol) vol.109 
Number (no) no.196 
Page pp.13-18 
#Pages 6 
Date of Issue 2009-09-07 (KBSE) 

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