Paper Abstract and Keywords |
Presentation |
2018-12-12 16:30
Proposing an Unsupervised Approach to Evaluate Essays Using IDF on Reference Data Masayuki Ohno, Koichi Takeuchi, Kota Motojin, Yuya Obata, Masahiro Taguchi, Yoshihiko Inada, Masaya Iizuka, Tatsuhiko Abo, Hitoshi Ueda (Okayama Univ.) NLC2018-33 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we describe an on-going study of developing an
automatic essay-scoring system in Japanese. Essay scoring systems have
already been developed and used mainly in English, while not many
previous studies have been done on Japanese essay evaluations. Most
of the methods and systems of automatic essay evaluation need not
small number of previously human-graded essays for calibrating the
parameter of regression functions or parameter of machine learning.
The previous studies show the high performance for essay evaluation
task, however, it must be not easy to assume large graded essays in,
for example, actual tests or entrance examinations. Thus, we take a
approach to evaluate Japanese essays without previously human-graded
essays but with assuming reference data related to essay questions.
The proposed method is a simple one, that is, evaluating the essays
with co-occurrences with the reference data in their words or
morphemes. In the method technical terms would be given high scores
using neologd dictionary and idf values.
Experimental results show that the proposed method works well in our
developing Japanese mock trial writing tests. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
automatic scoring of essays / human annotation, supporting system of essay evaluation / idf / neologd / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 355, NLC2018-33, pp. 103-108, Dec. 2018. |
Paper # |
NLC2018-33 |
Date of Issue |
2018-12-04 (NLC) |
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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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