Paper Abstract and Keywords |
Presentation |
2022-03-07 15:50
Simile identification based on machine learning using pseudo data acquisition Jintaro Jimi, Kazutaka Shimada (Kyutech) NLC2021-36 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Simile is a kind of figurative language.
It expresses the target of the figurative language by using comparators such as ``like''.
For understanding a sentence, it is important to distinguish whether the sentence is a simile or a literal.
In this paper, we propose a pseudo dataset acquisition method for simile identification.
We first constructed a dataset of simile and literal sentences using machine translation.
Next, we define the simile identification task as a binary classification problem.
We apply some machine learning approaches to the task.
We show the validity of the pseudo dataset and the models in this task. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
simile identification / pseudo data / automatic training data acquisition / figurative language / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 415, NLC2021-36, pp. 48-53, March 2022. |
Paper # |
NLC2021-36 |
Date of Issue |
2022-02-28 (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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NLC2021-36 |
Conference Information |
Committee |
NLC |
Conference Date |
2022-03-07 - 2022-03-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Information Processing of Tourism, etc. |
Paper Information |
Registration To |
NLC |
Conference Code |
2022-03-NLC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Simile identification based on machine learning using pseudo data acquisition |
Sub Title (in English) |
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simile identification |
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pseudo data |
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automatic training data acquisition |
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figurative language |
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1st Author's Name |
Jintaro Jimi |
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 |
2022-03-07 15:50:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
NLC2021-36 |
Volume (vol) |
vol.121 |
Number (no) |
no.415 |
Page |
pp.48-53 |
#Pages |
6 |
Date of Issue |
2022-02-28 (NLC) |
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