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| 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 |
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| 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. |
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| 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 | |
| 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 | HCS2019-32 |
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| 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 |
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| 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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| Speaker | Author-1 |
| Date Time | 2019-08-23 16:15:00 |
| Presentation Time | 30 minutes |
| Registration for | HCS |
| Paper # | HCS2019-32 |
| Volume (vol) | vol.119 |
| Number (no) | no.179 |
| Page | pp.15-20 |
| #Pages | 6 |
| Date of Issue | 2019-08-16 (HCS) |
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