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Paper Abstract and Keywords
Presentation 2022-09-13 13:20
Estimation of related keywords based on distributed representation of words and semantic vector operations
Osamu Segawa (Chubu Electric Power), Kazuhiko Murakami (Chuden CTI) NLC2022-4
Abstract (in Japanese) (See Japanese page) 
(in English) Formerly, in a text-mining task, several methods based on distribution of words using co-occurrence in observation windows were used for estimating related keywords. However, in practical use, methods that reflect semantic context between concepts have not been sufficiently explored. In this article, we propose a method to estimate related keywords that match the input contexts. Our method utilizes distributed representations of words and “situation synthesis” by semantic vector operations.
Keyword (in Japanese) (See Japanese page) 
(in English) Distributed representation of words / Semantic vector / Related keyword estimation / Word2Vec / GloVe / BERT / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 180, NLC2022-4, pp. 1-4, Sept. 2022.
Paper # NLC2022-4 
Date of Issue 2022-09-06 (NLC) 
ISSN Online edition: ISSN 2432-6380
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 NLC  
Conference Date 2022-09-13 - 2022-09-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Keio Univ. Yagami Campus. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 19th Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2022-09-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of related keywords based on distributed representation of words and semantic vector operations 
Sub Title (in English)  
Keyword(1) Distributed representation of words  
Keyword(2) Semantic vector  
Keyword(3) Related keyword estimation  
Keyword(4) Word2Vec  
Keyword(5) GloVe  
Keyword(6) BERT  
1st Author's Name Osamu Segawa  
1st Author's Affiliation Chubu Electric Power Co., Inc. (Chubu Electric Power)
2nd Author's Name Kazuhiko Murakami  
2nd Author's Affiliation Chuden CTI Co., Ltd. (Chuden CTI)
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Speaker Author-1 
Date Time 2022-09-13 13:20:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2022-4 
Volume (vol) vol.122 
Number (no) no.180 
Page pp.1-4 
Date of Issue 2022-09-06 (NLC) 

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