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Paper Abstract and Keywords
Presentation 2010-12-20 15:00
Evaluation of spotting algorithm constrained by keyword co-occurrence for dialogue systems
Aki Kato, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2010-16 SP2010-89
Abstract (in Japanese) (See Japanese page) 
(in English) Question-answering dialogue system often choose a response sentence based on recognized keywords in a user's utterance. In such case, a robust utterance understanding can be achieved by recognizing only the keywords, skipping irrelevant part of speech, rather than decoding the whole input speech. Also, since the intention of an utterance can be expressed as combination of keywords (keyword set) rather than a set of single keyword, it is desirable to extract the keywords as keyword sets. In this study, we propose an algorithm which directly applies the keyword set constraints by consulting their co-occurrences during search using a large vocabulary garbage model. By applying the constraints dynamically while search, it suppresses unnecessary hypotheses and thus expected to perform more efficiently and result in more robust intention detection. The proposed keyword-set spotting algorithm is implemented on large vocabulary continuous speech recognition decoder "Julius" fully on both passes. We evaluated the performance of the proposed method. It was confirmed that the recognition rate of keywords by spotting was superior to the dictation-based method. In addition, keyword spotting constrained by co-occurrences improved the keyword extraction rate by about 12.5 \%
relatively at the maximum. In this paper, we report the evaluation results in a small task of 150 keywords and the Takemaru task.
Keyword (in Japanese) (See Japanese page) 
(in English) dialogue system / keyword / co-occurence constraints / spotting / garbage model / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 357, SP2010-89, pp. 25-30, Dec. 2010.
Paper # SP2010-89 
Date of Issue 2010-12-13 (NLC, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 NLC SP  
Conference Date 2010-12-20 - 2010-12-21 
Place (in Japanese) (See Japanese page) 
Place (in English) National Olympics Memorial Youth Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Access, Speech and Language Processing, etc. 
Paper Information
Registration To SP 
Conference Code 2010-12-NLC-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of spotting algorithm constrained by keyword co-occurrence for dialogue systems 
Sub Title (in English)  
Keyword(1) dialogue system  
Keyword(2) keyword  
Keyword(3) co-occurence constraints  
Keyword(4) spotting  
Keyword(5) garbage model  
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Keyword(8)  
1st Author's Name Aki Kato  
1st Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
2nd Author's Name Yoshihiko Nankaku  
2nd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
3rd Author's Name Akinobu Lee  
3rd Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
4th Author's Name Keiichi Tokuda  
4th Author's Affiliation Nagoya Institute of Technology (Nagoya Inst. of Tech.)
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Date Time 2010-12-20 15:00:00 
Presentation Time 25 minutes 
Registration for SP 
Paper # NLC2010-16, SP2010-89 
Volume (vol) vol.110 
Number (no) no.356(NLC), no.357(SP) 
Page pp.25-30 
#Pages
Date of Issue 2010-12-13 (NLC, SP) 


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