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Paper Abstract and Keywords
Presentation 2016-09-09 10:00

Masahide Naemura, Miyazaki Masaru, Urakawa Makoto, Fujisawa Hiroshi (NHK) NLC2016-21
Abstract (in Japanese) (See Japanese page) 
(in English) We are researching fusion of broadcasting and network communication that can utilizes TV program information to living space. A key technology for effective utilization of the program related information is entity linking that links keywords extracted from EPG data or closed captions to a canonical knowledge base like Wikipedia. In this paper, we propose a method for entity linking person-related keywords appearing in closed captions of the TV program to Wikipedia page words since the person keywords have high values for evolving a new service using this entity linking results. While the basis of the proposed method consists of data-mining and modeling the relationship among various keywords appearing in Wikipedia texts, a main feature differed from conventional methods is use of group tree structured graph in disambiguating person keywords. This graph is created as a result of applying a network clustering method to a link graph generated from the link information between the two related person keywords. The experimental results shows that our proposed method is significantly superior to the conventional ones in applying them to the closed captions of real TV programs.
Keyword (in Japanese) (See Japanese page) 
(in English) Entity Linking / Wikipedia / Graph Processing / Group Tree Structure / Person keyword / Closed Caption / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 213, NLC2016-21, pp. 51-56, Sept. 2016.
Paper # NLC2016-21 
Date of Issue 2016-09-01 (NLC) 
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 NLC2016-21

Conference Information
Committee NLC  
Conference Date 2016-09-08 - 2016-09-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Convention Room AP Shibuya-Dogenzaka (Tokyo) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Ninth Text Mining Symposium 
Paper Information
Registration To NLC 
Conference Code 2016-09-NLC 
Language Japanese without English title) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English)  
Sub Title (in English)  
Keyword(1) Entity Linking  
Keyword(2) Wikipedia  
Keyword(3) Graph Processing  
Keyword(4) Group Tree Structure  
Keyword(5) Person keyword  
Keyword(6) Closed Caption  
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Keyword(8)  
1st Author's Name Masahide Naemura  
1st Author's Affiliation Japan Broadcating Corporation (NHK)
2nd Author's Name Miyazaki Masaru  
2nd Author's Affiliation Japan Broadcating Corporation (NHK)
3rd Author's Name Urakawa Makoto  
3rd Author's Affiliation Japan Broadcating Corporation (NHK)
4th Author's Name Fujisawa Hiroshi  
4th Author's Affiliation Japan Broadcating Corporation (NHK)
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Speaker Author-1 
Date Time 2016-09-09 10:00:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2016-21 
Volume (vol) vol.116 
Number (no) no.213 
Page pp.51-56 
#Pages 6 
Date of Issue 2016-09-01 (NLC) 

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