Paper Abstract and Keywords |
Presentation |
2019-12-05 11:15
Predicting Connection between Utterances in Multi-Party Conversation Takumi Himeno, Kazutaka Shimada (Kyutech) NLC2019-34 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Conversations are often held in laboratories and companies.
To grasp the content of a discussion, a summary is important for people who could not attend the conversation.
If the summary is illustrated as an argument structure, it will be helpful to follow the points of the conversation immediately.
In this paper, we construct a model that predicts connection between utterances in multi-party conversation.
First, we explain the features we design for the task.
Next, we report the result of an experiment in which we compared a machine learning method using the feature with one without them.
The result showed that time information and distance between utterances were effective. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Multi-Party Conversation / Argument Mining / Argument Structure / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 320, NLC2019-34, pp. 81-86, Dec. 2019. |
Paper # |
NLC2019-34 |
Date of Issue |
2019-11-27 (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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
Download PDF |
NLC2019-34 |
Conference Information |
Committee |
NLC IPSJ-NL SP IPSJ-SLP |
Conference Date |
2019-12-04 - 2019-12-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
NHK Science & Technology Research Labs. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The 6th Natural Language Processing Symposium & The 21th Spoken Language Symposium |
Paper Information |
Registration To |
NLC |
Conference Code |
2019-12-NLC-NL-SP-SLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Predicting Connection between Utterances in Multi-Party Conversation |
Sub Title (in English) |
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Multi-Party Conversation |
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Argument Mining |
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Argument Structure |
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1st Author's Name |
Takumi Himeno |
1st Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
2nd Author's Name |
Kazutaka Shimada |
2nd Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
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Speaker |
Author-1 |
Date Time |
2019-12-05 11:15:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2019-34 |
Volume (vol) |
vol.119 |
Number (no) |
no.320 |
Page |
pp.81-86 |
#Pages |
6 |
Date of Issue |
2019-11-27 (NLC) |