Paper Abstract and Keywords |
Presentation |
2020-09-10 15:25
Unsupervised Domain Adaptation for Dialogue Sequence Labeling
-- Application to Contact Center Tasks -- Shota Orihashi, Naoki Makishima, Mana Ihori, Akihiko Takashima, Tomohiro Tanaka, Ryo Masumura (NTT) NLC2020-8 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper presents an unsupervised domain adaptation for utterance-level sequence labeling of conversation in a contact center. For the sequence labeling, a method utilizing two networks that understand short-term context for each utterance and long-term context between utterances is effective. However, a large amount of labeled training data is required to train the networks. In this paper, we apply unsupervised domain adaptation that trains target domain model using labeled source domain data and unlabeled target domain data. In order to efficiently remove the domain dependency, we perform adversarial training utilizing domain discriminators for each context-understanding network. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
dialogue sequence labeling / unsupervised domain adaptation / adversarial training / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 166, NLC2020-8, pp. 34-39, Sept. 2020. |
Paper # |
NLC2020-8 |
Date of Issue |
2020-09-03 (NLC) |
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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NLC2020-8 |
Conference Information |
Committee |
NLC |
Conference Date |
2020-09-10 - 2020-09-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The Sixteenth Text Analytics Symposium |
Paper Information |
Registration To |
NLC |
Conference Code |
2020-09-NLC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Unsupervised Domain Adaptation for Dialogue Sequence Labeling |
Sub Title (in English) |
Application to Contact Center Tasks |
Keyword(1) |
dialogue sequence labeling |
Keyword(2) |
unsupervised domain adaptation |
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adversarial training |
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1st Author's Name |
Shota Orihashi |
1st Author's Affiliation |
NTT Corporation (NTT) |
2nd Author's Name |
Naoki Makishima |
2nd Author's Affiliation |
NTT Corporation (NTT) |
3rd Author's Name |
Mana Ihori |
3rd Author's Affiliation |
NTT Corporation (NTT) |
4th Author's Name |
Akihiko Takashima |
4th Author's Affiliation |
NTT Corporation (NTT) |
5th Author's Name |
Tomohiro Tanaka |
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NTT Corporation (NTT) |
6th Author's Name |
Ryo Masumura |
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NTT Corporation (NTT) |
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Speaker |
Author-1 |
Date Time |
2020-09-10 15:25:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2020-8 |
Volume (vol) |
vol.120 |
Number (no) |
no.166 |
Page |
pp.34-39 |
#Pages |
6 |
Date of Issue |
2020-09-03 (NLC) |
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