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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
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 NLC2018-33

Conference Information
Conference Date 2018-12-10 - 2018-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. Nishiwaseda Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 5th Natural Language Processing Symposium & The 20th Spoken Language Symposium 
Paper Information
Registration To NLC 
Conference Code 2018-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposing an Unsupervised Approach to Evaluate Essays Using IDF on Reference Data 
Sub Title (in English)  
Keyword(1) automatic scoring of essays  
Keyword(2) human annotation, supporting system of essay evaluation  
Keyword(3) idf  
Keyword(4) neologd  
1st Author's Name Masayuki Ohno  
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 Kota Motojin  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Yuya Obata  
4th Author's Affiliation Okayama University (Okayama Univ.)
5th Author's Name Masahiro Taguchi  
5th Author's Affiliation Okayama University (Okayama Univ.)
6th Author's Name Yoshihiko Inada  
6th Author's Affiliation Okayama University (Okayama Univ.)
7th Author's Name Masaya Iizuka  
7th Author's Affiliation Okayama University (Okayama Univ.)
8th Author's Name Tatsuhiko Abo  
8th Author's Affiliation Okayama University (Okayama Univ.)
9th Author's Name Hitoshi Ueda  
9th Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2018-12-12 16:30:00 
Presentation Time 30 minutes 
Registration for NLC 
Paper # NLC2018-33 
Volume (vol) vol.118 
Number (no) no.355 
Page pp.103-108 
Date of Issue 2018-12-04 (NLC) 

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