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Paper Abstract and Keywords
Presentation 2020-03-07 15:20
A proposal of individual input data extraction method in Word document file
Yuehao Li, Nobuo Funabiki, Minoru Kuribayashi, Nobuya Ishihara (Okayama Univ) ET2019-105
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we propose a method of extracting the individual input data from Microsoft Word document files using the information of the given template file for the document. When the template is not available, we implement the automatic template generation function, which extracts the words as the template whose appearing times are equal to the number of the given Word files. We verify the effectiveness through experiments using four sets of test document files.
Keyword (in Japanese) (See Japanese page) 
(in English) Microsoft Word / document / individual input data / extraction / template / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 468, ET2019-105, pp. 163-168, March 2020.
Paper # ET2019-105 
Date of Issue 2020-02-29 (ET) 
ISSN 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 ET  
Conference Date 2020-03-07 - 2020-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) National Institute of Technology, Kagawa Collage 
Topics (in Japanese) (See Japanese page) 
Topics (in English) LMS and e-Portfolio, etc. 
Paper Information
Registration To ET 
Conference Code 2020-03-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A proposal of individual input data extraction method in Word document file 
Sub Title (in English)  
Keyword(1) Microsoft Word  
Keyword(2) document  
Keyword(3) individual input data  
Keyword(4) extraction  
Keyword(5) template  
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1st Author's Name Yuehao Li  
1st Author's Affiliation Okayama University (Okayama Univ)
2nd Author's Name Nobuo Funabiki  
2nd Author's Affiliation Okayama University (Okayama Univ)
3rd Author's Name Minoru Kuribayashi  
3rd Author's Affiliation Okayama University (Okayama Univ)
4th Author's Name Nobuya Ishihara  
4th Author's Affiliation Okayama University (Okayama Univ)
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Speaker Author-1 
Date Time 2020-03-07 15:20:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2019-105 
Volume (vol) vol.119 
Number (no) no.468 
Page pp.163-168 
#Pages
Date of Issue 2020-02-29 (ET) 


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