| Paper Abstract and Keywords |
| Presentation |
2019-02-08 09:30
Selection of Figurative Expression Using Automatically Generated Data Set Yuto Mitsuishi, Kazutaka Shimada (Kyutech) NLC2018-42 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Figurative expressions are one of effective approaches to lead readers to understand.
In this paper, we propose a selection method of a suitable figurative expression about an adjective in a
sentence by using neural networks (LSTM with attention). NNs usually need a large amount of training
data for generating a model. We first construct the training date set automatically by computing a simile-likelihood score of each figurative candidate.
Next, we select sentence-figurative expression pairs with high simile-likelihood scores as the training data.
Then, we generate a LSTM-based selection model by using the training data.
We obtained sentences with some interesting figurative expressions that cannot be selected by dictionary-based methods. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Automatically Generated Data Set / Automatic Selection / Deep Learning / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 118, no. 439, NLC2018-42, pp. 35-40, Feb. 2019. |
| Paper # |
NLC2018-42 |
| Date of Issue |
2019-01-31 (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) |
| Download PDF |
NLC2018-42 |
| Conference Information |
| Committee |
NLC IPSJ-IFAT |
| Conference Date |
2019-02-07 - 2019-02-08 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Ryukoku University Omiya Campus |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
The 14th Text Analytics Symposium |
| Paper Information |
| Registration To |
NLC |
| Conference Code |
2019-02-NLC-IFAT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Selection of Figurative Expression Using Automatically Generated Data Set |
| Sub Title (in English) |
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| Keyword(1) |
Automatically Generated Data Set |
| Keyword(2) |
Automatic Selection |
| Keyword(3) |
Deep Learning |
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| 1st Author's Name |
Yuto Mitsuishi |
| 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 |
2019-02-08 09:30:00 |
| Presentation Time |
25 minutes |
| Registration for |
NLC |
| Paper # |
NLC2018-42 |
| Volume (vol) |
vol.118 |
| Number (no) |
no.439 |
| Page |
pp.35-40 |
| #Pages |
6 |
| Date of Issue |
2019-01-31 (NLC) |