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Paper Abstract and Keywords
Presentation 2017-12-20 17:20
Trial of Reinforcement Learning to Analyze Command Utterances for In-vehicle Computer
Masato Tokuhisa, Shuhei Kimura (Tottori Univ.) NLC2017-38
Abstract (in Japanese) (See Japanese page) 
(in English) This paper reports a trial of reinforcement learning to analyze command utterances for an in-vehicle computer. The computer gives such services as music, tourism guide, weather report, and so on. Since the users utter additional or revisal words in their utterances, the utterance analyzer needs to accept the illegal sentences. We propose recognition-actions that extract information or shift the focus to the word of the utterance so as to use reinforcement learning, which can learn the sequences of actions. The experimental results show the accuracy is 98.2% to analyze 900 utterances that cover 85 kinds of methods for the in-vehicle computer's services.
Keyword (in Japanese) (See Japanese page) 
(in English) in-vehivle computer / utterance analysis / reinforcement learning / Q-learning / action for recognition / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 367, NLC2017-38, pp. 55-60, Dec. 2017.
Paper # NLC2017-38 
Date of Issue 2017-12-13 (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 NLC2017-38

Conference Information
Committee NLC IPSJ-NL SP IPSJ-SLP  
Conference Date 2017-12-20 - 2017-12-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. Green Computing Systems Research Organization 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 4th Natural Language Processing Symposium & The 19th Spoken Language Symposium 
Paper Information
Registration To NLC 
Conference Code 2017-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Trial of Reinforcement Learning to Analyze Command Utterances for In-vehicle Computer 
Sub Title (in English)  
Keyword(1) in-vehivle computer  
Keyword(2) utterance analysis  
Keyword(3) reinforcement learning  
Keyword(4) Q-learning  
Keyword(5) action for recognition  
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1st Author's Name Masato Tokuhisa  
1st Author's Affiliation Tottori University (Tottori Univ.)
2nd Author's Name Shuhei Kimura  
2nd Author's Affiliation Tottori University (Tottori Univ.)
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Speaker Author-1 
Date Time 2017-12-20 17:20:00 
Presentation Time 30 minutes 
Registration for NLC 
Paper # NLC2017-38 
Volume (vol) vol.117 
Number (no) no.367 
Page pp.55-60 
#Pages 6 
Date of Issue 2017-12-13 (NLC) 

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