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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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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)  
Keyword(1) Hidden-word  
Keyword(2) Word2vec  
Keyword(3) 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  
3rd Author's Affiliation Nihon University (Nihon Univ.)
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Speaker
Date Time 2019-09-29 14:35:00 
Presentation Time 30 
Registration for TL 
Paper # IEICE-TL2019-39 
Volume (vol) IEICE-119 
Number (no) no.213 
Page pp.11-15 
#Pages IEICE-5 
Date of Issue IEICE-TL-2019-09-22 


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