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Paper Abstract and Keywords
Presentation 2017-09-08 10:25
A Study of Extracting Related Documents for Essay Evaluation Modules
Kota Motojin, Koichi Takeuchi, Masayuki Ohno, Masahiro Taguchi, Yoshihiko Inada, Masaya Iiduka, Tatsuhiko Abo, Hitoshi Ueda (Okayama Univ) NLC2017-24
Abstract (in Japanese) (See Japanese page) 
(in English) We are developing an automatic Japanese essay-scoring system that is composed of 4 evaluation criteria, comprehensiveness, logical consistency, validity, spelling and grammar. In this paper, we discuss the most powerful approach to extract documents of Wikipedia that relates to the reference texts of the target essay theme for validity evaluation. The reason for using Wikipedia documents for evaluating validity of students’ essays is that we assume that validity can be evaluated by the expanded discussions in Wikipedia documents that relates to the essay theme. Experimental results show that the skip-gram based word vector is the best approach to extract relating documents to reference texts among several keyword-based evaluation approaches.
Keyword (in Japanese) (See Japanese page) 
(in English) Automatic scoring of answers of essay-writing tests / Word vector / Skip-gram / Wikipedia / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 207, NLC2017-24, pp. 47-51, Sept. 2017.
Paper # NLC2017-24 
Date of Issue 2017-08-31 (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)
Download PDF NLC2017-24

Conference Information
Committee NLC  
Conference Date 2017-09-07 - 2017-09-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Seikei University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Eleventh Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2017-09-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Extracting Related Documents for Essay Evaluation Modules 
Sub Title (in English)  
Keyword(1) Automatic scoring of answers of essay-writing tests  
Keyword(2) Word vector  
Keyword(3) Skip-gram  
Keyword(4) Wikipedia  
1st Author's Name Kota Motojin  
1st Author's Affiliation Okayama University (Okayama Univ)
2nd Author's Name Koichi Takeuchi  
2nd Author's Affiliation Okayama University (Okayama Univ)
3rd Author's Name Masayuki Ohno  
3rd Author's Affiliation Okayama University (Okayama Univ)
4th Author's Name Masahiro Taguchi  
4th Author's Affiliation Okayama University (Okayama Univ)
5th Author's Name Yoshihiko Inada  
5th Author's Affiliation Okayama University (Okayama Univ)
6th Author's Name Masaya Iiduka  
6th Author's Affiliation Okayama University (Okayama Univ)
7th Author's Name Tatsuhiko Abo  
7th Author's Affiliation Okayama University (Okayama Univ)
8th Author's Name Hitoshi Ueda  
8th Author's Affiliation Okayama University (Okayama Univ)
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Speaker Author-1 
Date Time 2017-09-08 10:25:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2017-24 
Volume (vol) vol.117 
Number (no) no.207 
Page pp.47-51 
Date of Issue 2017-08-31 (NLC) 

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