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| Presentation | 2023-03-01 10:30 A Study of Utterance Generation Models based on TV Programs and Interests Yuta Hagio, Makoto Okuda, Marina Kamimura, Yutaka Kaneko, Hisayuki Ohmata (NHK)  BioX2022-64 CNR2022-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we discuss the results of a study of an utterance generation model based on TV programs and specifiedinterest words, with the aim of implementing it in a companion robot that watches TV with humans. In order to automaticallygenerate the robot’s utterances while watching TV, we created a TV program-related utterance dataset by adding about 12,000robot utterances to the program’s captions. Using this dataset, we built an utterance generation model by fine-tuning a large-scalegeneral-purpose language model for chat dialog. Our model can generate utterances with the given specified interest wordas the topic, taking into account the context of the TV program using its captions and the interest word. As a result of evaluationof the sentences generated by our model, we confirmed that about 88% of the sentences are natural Japanese sentences, andabout 75% of the sentences are natural sentences in the context of the program. In addition, about 83% of the utterancesreflected the specified interest words. It was found that our model can generate utterances that are natural in the context of theprogram’s captions and that suggest interest in the specified interest words. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Companion robot / TV-viewing / Utterance generation / Caption data / Interest words / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 395, CNR2022-30, pp. 13-18, March 2023. | |
| Paper # | CNR2022-30 | |
| Date of Issue | 2023-02-22 (BioX, CNR) | |
| ISSN | 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 | BioX2022-64 CNR2022-30 |
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| Conference Information | |
| Committee | CNR BioX |
| Conference Date | 2023-03-01 - 2023-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | CNR |
| Conference Code | 2023-03-CNR-BioX |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Utterance Generation Models based on TV Programs and Interests |
| Sub Title (in English) | |
| Keyword(1) | Companion robot |
| Keyword(2) | TV-viewing |
| Keyword(3) | Utterance generation |
| Keyword(4) | Caption data |
| Keyword(5) | Interest words |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuta Hagio |
| 1st Author's Affiliation | Japan Broadcasting Corporation (NHK) |
| 2nd Author's Name | Makoto Okuda |
| 2nd Author's Affiliation | Japan Broadcasting Corporation (NHK) |
| 3rd Author's Name | Marina Kamimura |
| 3rd Author's Affiliation | Japan Broadcasting Corporation (NHK) |
| 4th Author's Name | Yutaka Kaneko |
| 4th Author's Affiliation | Japan Broadcasting Corporation (NHK) |
| 5th Author's Name | Hisayuki Ohmata |
| 5th Author's Affiliation | Japan Broadcasting Corporation (NHK) |
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| Speaker | Author-1 |
| Date Time | 2023-03-01 10:30:00 |
| Presentation Time | 30 minutes |
| Registration for | CNR |
| Paper # | BioX2022-64, CNR2022-30 |
| Volume (vol) | vol.122 |
| Number (no) | no.394(BioX), no.395(CNR) |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2023-02-22 (BioX, CNR) |
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