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Paper Abstract and Keywords
Presentation 2019-12-04 15:05
Interpretability of laws related to clinical research with text mining
Ayako Ohshiro, Shinichiro Ueda (Univ. of the Ryukyus) NLC2019-33
Abstract (in Japanese) (See Japanese page) 
(in English) Medical staffs have been required comprehension of laws for clinical research, in addition to ordinary medical care and clinical research training. We study interpretability of laws for clinical research by use of text mining such as Word2Vec and Morphological analysis. It was shown by classification to certain groups of word frequency distribution result.
Keyword (in Japanese) (See Japanese page) 
(in English) Word2Vec / Morphological analysis / Clinical research / Law information / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 320, NLC2019-33, pp. 35-40, Dec. 2019.
Paper # NLC2019-33 
Date of Issue 2019-11-27 (NLC) 
ISSN Print edition: ISSN 0913-5685  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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF NLC2019-33

Conference Information
Conference Date 2019-12-04 - 2019-12-06 
Place (in Japanese) (See Japanese page) 
Place (in English) NHK Science & Technology Research Labs. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 6th Natural Language Processing Symposium & The 21th Spoken Language Symposium 
Paper Information
Registration To NLC 
Conference Code 2019-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Interpretability of laws related to clinical research with text mining 
Sub Title (in English)  
Keyword(1) Word2Vec  
Keyword(2) Morphological analysis  
Keyword(3) Clinical research  
Keyword(4) Law information  
1st Author's Name Ayako Ohshiro  
1st Author's Affiliation University of the Ryukyus (Univ. of the Ryukyus)
2nd Author's Name Shinichiro Ueda  
2nd Author's Affiliation University of the Ryukyus (Univ. of the Ryukyus)
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Date Time 2019-12-04 15:05:00 
Presentation Time 25 
Registration for NLC 
Paper # IEICE-NLC2019-33 
Volume (vol) IEICE-119 
Number (no) no.320 
Page pp.35-40 
#Pages IEICE-6 
Date of Issue IEICE-NLC-2019-11-27 

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