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Paper Abstract and Keywords
Presentation 2019-08-23 16:15
Estimating Exchange-level Annotations with Multitask Learning for Multimodal Dialogue Systems
Yuki Hirano, Shogo Okada (JAIST), Haruto Nishimoto, Kazunori Komatani (Osaka Univ.) HCS2019-32
Abstract (in Japanese) (See Japanese page) 
(in English) This study presents multimodal computational modeling
for estimating three labels: user's interest label, user's sentiment label, and topic continuance, which are independently annotated per exchange in spoken dialogue systems.
A multitask learning technique is applied for binary classification tasks of the three labels
considering the partial similarities among them. Experimental results show the effectiveness of deep neural network trained with multitask learning framework.
Keyword (in Japanese) (See Japanese page) 
(in English) Multimodal / Dialogue system / Multitask Learning / Sentiment analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 179, HCS2019-32, pp. 15-20, Aug. 2019.
Paper # HCS2019-32 
Date of Issue 2019-08-16 (HCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF HCS2019-32

Conference Information
Committee HCS  
Conference Date 2019-08-23 - 2019-08-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Jikei Institute 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HCS 
Conference Code 2019-08-HCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimating Exchange-level Annotations with Multitask Learning for Multimodal Dialogue Systems 
Sub Title (in English)  
Keyword(1) Multimodal  
Keyword(2) Dialogue system  
Keyword(3) Multitask Learning  
Keyword(4) Sentiment analysis  
1st Author's Name Yuki Hirano  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Shogo Okada  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
3rd Author's Name Haruto Nishimoto  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Kazunori Komatani  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Date Time 2019-08-23 16:15:00 
Presentation Time 30 
Registration for HCS 
Paper # IEICE-HCS2019-32 
Volume (vol) IEICE-119 
Number (no) no.179 
Page pp.15-20 
#Pages IEICE-6 
Date of Issue IEICE-HCS-2019-08-16 

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