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 |
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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NLC2017-24 |
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