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Paper Abstract and Keywords
Presentation 2015-02-06 09:55
Extracting Relationship of Meeting Minutes Generated By Speech Recognition System using Collective Entity Resolution.
Motoki Ito, Seikoh Nishita (Takushoku Univ.) NLC2014-49
Abstract (in Japanese) (See Japanese page) 
(in English) Meeting minutes generation systems by speech recognition are used in various situations. In a case where generated texts are not regarded as formal meeting minutes, but as information to be looked back, the generated texts are not strictly managed, and the texts includes wrong words caused by mis-recognition of the system. Such wrong words makes information retrieval on minutes difficult. This paper proposes a technique to extract relationship of minutes generated by speech recognition system, which is based on Collective Entity Resolution.
Keyword (in Japanese) (See Japanese page) 
(in English) Speech recognition / Meeting minutes / Text mining / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 444, NLC2014-49, pp. 29-33, Feb. 2015.
Paper # NLC2014-49 
Date of Issue 2015-01-29 (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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF NLC2014-49

Conference Information
Committee NLC  
Conference Date 2015-02-05 - 2015-02-06 
Place (in Japanese) (See Japanese page) 
Place (in English) T.O.G 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Sixth Symposium on Text Mining 
Paper Information
Registration To NLC 
Conference Code 2015-02-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extracting Relationship of Meeting Minutes Generated By Speech Recognition System using Collective Entity Resolution. 
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Keyword(1) Speech recognition  
Keyword(2) Meeting minutes  
Keyword(3) Text mining  
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1st Author's Name Motoki Ito  
1st Author's Affiliation Takushoku University (Takushoku Univ.)
2nd Author's Name Seikoh Nishita  
2nd Author's Affiliation Takushoku University (Takushoku Univ.)
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Speaker Author-1 
Date Time 2015-02-06 09:55:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2014-49 
Volume (vol) vol.114 
Number (no) no.444 
Page pp.29-33 
#Pages 5 
Date of Issue 2015-01-29 (NLC) 

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