Paper Abstract and Keywords |
Presentation |
2018-09-14 13:00
A Study on Interaction Analysis Using Japanese Learner's Conversation Data and the Tendency of Dialogue Breaking Hiromitsu Ota (OUJ) DE2018-9 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, the introduction of chat bots to call centers and the like has become popular, more accurate, dialogue response with less breakdown is required. On the other hand, in the field of natural language processing using deep learning, expression learning such as word 2 vec spreads, the responses and utterances between utterances are emphasized and challenged. Therefore, we examined application of qualitative mutual action framework in sociology's ethnomethodology and conversation analysis. We examined effectiveness by using the Japanese language learner conversation data of the National Institute of Japanese Language and examined the characteristics of dialog crash and the applicability of automatic dialogue generation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
chatbot / Seq2Seq / word2vec / automatic dialogue generation / Ethnomethodology / conversation analysis / Dialogue collapse / Dialogue response |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 213, DE2018-9, pp. 1-6, Sept. 2018. |
Paper # |
DE2018-9 |
Date of Issue |
2018-09-05 (DE) |
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) |
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DE2018-9 |
Conference Information |
Committee |
DE IPSJ-DBS IPSJ-IFAT |
Conference Date |
2018-09-12 - 2018-09-14 |
Place (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
DE |
Conference Code |
2018-09-DE-DBS-IFAT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Interaction Analysis Using Japanese Learner's Conversation Data and the Tendency of Dialogue Breaking |
Sub Title (in English) |
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chatbot |
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Seq2Seq |
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word2vec |
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automatic dialogue generation |
Keyword(5) |
Ethnomethodology |
Keyword(6) |
conversation analysis |
Keyword(7) |
Dialogue collapse |
Keyword(8) |
Dialogue response |
1st Author's Name |
Hiromitsu Ota |
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The Open University of Japan (OUJ) |
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Speaker |
Author-1 |
Date Time |
2018-09-14 13:00:00 |
Presentation Time |
30 minutes |
Registration for |
DE |
Paper # |
DE2018-9 |
Volume (vol) |
vol.118 |
Number (no) |
no.213 |
Page |
pp.1-6 |
#Pages |
6 |
Date of Issue |
2018-09-05 (DE) |
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