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Paper Abstract and Keywords
Presentation 2017-06-10 10:50
A Study on Acquisition of Associative Word for Topic Transition in a Chat Dialogue System
Kazuki Asami, Toru Sugimoto (Shibaura Inst. Tech.) TL2017-11 NLC2017-11
Abstract (in Japanese) (See Japanese page) 
(in English) Chat dialogue systems need to have a topic transition function in order not to let users get tired. In this paper, we focus on association as a method to decide topics after topic transition, and study acquisition of associative words that realize natural topic transition. In order to clarify properties and conditions of association used for topic transition, we collect associative words by free association with topic words as stimulus words. We also collect related words that have large cosine similarity with topic words based on word vectors acquired using word2vec. Next, we classify the collected associative words and related words according to the semantic relation with topic words, and compare them. Then we conduct evaluation experiments to investigate whether these associative words and related words are suitable for topic transition in dialogue, and consider a method to automatically obtain associative words that realize natural topic transition.
Keyword (in Japanese) (See Japanese page) 
(in English) Association / Chat Dialogue System / Topic Transition / word2vec / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 82, NLC2017-11, pp. 59-64, June 2017.
Paper # NLC2017-11 
Date of Issue 2017-06-02 (TL, 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 TL2017-11 NLC2017-11

Conference Information
Committee NLC TL  
Conference Date 2017-06-09 - 2017-06-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Tottori University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Application of natural language proessing and linguistic analysis, and general topic of NLP 
Paper Information
Registration To NLC 
Conference Code 2017-06-NLC-TL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Acquisition of Associative Word for Topic Transition in a Chat Dialogue System 
Sub Title (in English)  
Keyword(1) Association  
Keyword(2) Chat Dialogue System  
Keyword(3) Topic Transition  
Keyword(4) word2vec  
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Keyword(6)  
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1st Author's Name Kazuki Asami  
1st Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. Tech.)
2nd Author's Name Toru Sugimoto  
2nd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. Tech.)
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Speaker Author-1 
Date Time 2017-06-10 10:50:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # TL2017-11, NLC2017-11 
Volume (vol) vol.117 
Number (no) no.81(TL), no.82(NLC) 
Page pp.59-64 
#Pages 6 
Date of Issue 2017-06-02 (TL, NLC) 

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