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Paper Abstract and Keywords
Presentation 2019-09-28 17:55
On evaluation of word-embedding models for technical term in space systems
Naoko Okubo, Sho Kurahayashi, Kenji Mori, Kohsuke Namihira, Yasushi Ueda, Masafumi Katahira (JAXA), Toshiyuki Amagasa (Unv. Tsukuba) NLC2019-28
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we report the examination result of the method to evaluate the quality of the word-em-bedding models with word2vec before applying them to the actual NLP task. The quality about word-embeddingmodels can be confirmed when applied to a real NLP task. However, when the word-embedding model is applied to tasks that require specialized knowledge for the evaluation, such as spacecraft development, it is difficult to apply
multiple evaluation costs because the number of people who can be evaluated is limited. Therefore, we examined a method to evaluate the quality of the word-embedding models with a certain degree of accuracy before applying it to a real NLP task. We also investigated the correlation between the evaluation result of the word-embedding model and the accuracy of the actual NLP task.
Keyword (in Japanese) (See Japanese page) 
(in English) word-embedding model / word2vec / technical term / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 212, NLC2019-28, pp. 109-114, Sept. 2019.
Paper # NLC2019-28 
Date of Issue 2019-09-20 (NLC) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 NLC IPSJ-DC  
Conference Date 2019-09-27 - 2019-09-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Future Corporation 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Thirteenth Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2019-09-NLC-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On evaluation of word-embedding models for technical term in space systems 
Sub Title (in English)  
Keyword(1) word-embedding model  
Keyword(2) word2vec  
Keyword(3) technical term  
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1st Author's Name Naoko Okubo  
1st Author's Affiliation Japan Aerospace Exploration Agency (JAXA)
2nd Author's Name Sho Kurahayashi  
2nd Author's Affiliation Japan Aerospace Exploration Agency (JAXA)
3rd Author's Name Kenji Mori  
3rd Author's Affiliation Japan Aerospace Exploration Agency (JAXA)
4th Author's Name Kohsuke Namihira  
4th Author's Affiliation Japan Aerospace Exploration Agency (JAXA)
5th Author's Name Yasushi Ueda  
5th Author's Affiliation Japan Aerospace Exploration Agency (JAXA)
6th Author's Name Masafumi Katahira  
6th Author's Affiliation Japan Aerospace Exploration Agency (JAXA)
7th Author's Name Toshiyuki Amagasa  
7th Author's Affiliation University of Tsukuba (Unv. Tsukuba)
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Speaker Author-1 
Date Time 2019-09-28 17:55:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2019-28 
Volume (vol) vol.119 
Number (no) no.212 
Page pp.109-114 
#Pages
Date of Issue 2019-09-20 (NLC) 


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