Paper Abstract and Keywords |
Presentation |
2019-09-29 14:35
Hidden-word detection based on distributed representations and the topic model Wei Yilun, Lao Yingying, Han Dongli (Nihon Univ.) TL2019-39 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In natural language analysis, there is a phenomenon called hidden-word that can be an obstacle. Most previous studies deal with hidden-words as one type of unknown words. However, the approach to detect hidden words as replacements for other words is not sufficient. In this research, by employing the topic model and word2vec to obtain distributed expressions of words, we have proposed a method to automatically detect hidden-words from a sentence by estimating the compatibility between each word and the topic of the sentence. Also, we have automatically created test sentences containing hidden-words and conducted an evaluation experiment. The experimental results have shown the effectiveness of our approach. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Hidden-word / Word2vec / Topic-model / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 213, TL2019-39, pp. 11-15, Sept. 2019. |
Paper # |
TL2019-39 |
Date of Issue |
2019-09-22 (TL) |
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) |
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TL2019-39 |
Conference Information |
Committee |
TL |
Conference Date |
2019-09-29 - 2019-09-29 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
National Institute of Technology, Hakodate College |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Theme 1 Arts and Language, Theme 2 Ba linguistics, Abduction of meaning, "Ba" in Co-Creation, Abduction and Innovation, Theme 3 Language and Thought |
Paper Information |
Registration To |
TL |
Conference Code |
2019-09-TL |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Hidden-word detection based on distributed representations and the topic model |
Sub Title (in English) |
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Hidden-word |
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Word2vec |
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Topic-model |
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1st Author's Name |
Wei Yilun |
1st Author's Affiliation |
Nihon University (Nihon Univ.) |
2nd Author's Name |
Lao Yingying |
2nd Author's Affiliation |
Nihon University (Nihon Univ.) |
3rd Author's Name |
Han Dongli |
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Nihon University (Nihon Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-09-29 14:35:00 |
Presentation Time |
30 minutes |
Registration for |
TL |
Paper # |
TL2019-39 |
Volume (vol) |
vol.119 |
Number (no) |
no.213 |
Page |
pp.11-15 |
#Pages |
5 |
Date of Issue |
2019-09-22 (TL) |
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