| Paper Abstract and Keywords |
| Presentation |
2012-06-29 16:00
Hot spot detection in multi-party conversation using laughing feature Kazutaka Shimada, Akihiro Kusumoto, Takahiko Yokoyama, Tsutomu Endo (KIT) NLC2012-7 PRMU2012-27 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we propose a method for hot spot detection in multi-party conversation. Detecting hot spots in conversation helps to recognize user's minds, and leads to the improvement of dialogue understanding. We focus on laughing of each user. We divide laughing situations into ``internal'' and ``external''. The ``internal'' and the ``external'' denote unprompted laughing and laughing that is caused by actions or utterances from other persons, respectively. Besides, we classify the power of laughing into ``smile'', ``laugh'' and ``burst''. We generate a classifier with these laughing features and basic features such as bag-of-words. We evaluate the proposed method with 10 dialogue sets. The experimental result shows the effectiveness of the proposed method with laughing features. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Multi-party conversation / Hot spot detection / Laughing feature / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 112, no. 110, NLC2012-7, pp. 25-30, June 2012. |
| Paper # |
NLC2012-7 |
| Date of Issue |
2012-06-22 (NLC, PRMU) |
| 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 |
NLC2012-7 PRMU2012-27 |
| Conference Information |
| Committee |
PRMU NLC |
| Conference Date |
2012-06-29 - 2012-06-29 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
NLC |
| Conference Code |
2012-06-PRMU-NLC |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Hot spot detection in multi-party conversation using laughing feature |
| Sub Title (in English) |
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| Keyword(1) |
Multi-party conversation |
| Keyword(2) |
Hot spot detection |
| Keyword(3) |
Laughing feature |
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| 1st Author's Name |
Kazutaka Shimada |
| 1st Author's Affiliation |
Kyushu Institute of Technology (KIT) |
| 2nd Author's Name |
Akihiro Kusumoto |
| 2nd Author's Affiliation |
Kyushu Institute of Technology (KIT) |
| 3rd Author's Name |
Takahiko Yokoyama |
| 3rd Author's Affiliation |
Kyushu Institute of Technology (KIT) |
| 4th Author's Name |
Tsutomu Endo |
| 4th Author's Affiliation |
Kyushu Institute of Technology (KIT) |
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| Speaker |
Author-1 |
| Date Time |
2012-06-29 16:00:00 |
| Presentation Time |
30 minutes |
| Registration for |
NLC |
| Paper # |
NLC2012-7, PRMU2012-27 |
| Volume (vol) |
vol.112 |
| Number (no) |
no.110(NLC), no.111(PRMU) |
| Page |
pp.25-30 |
| #Pages |
6 |
| Date of Issue |
2012-06-22 (NLC, PRMU) |