Title Alternative A Study of Extracting Related Documents for Essay Evaluation Modules
FullText URL NLC2017-24.pdf
Author Motojin, Kota| Takeuchi, Koichi| Ohno, Masayuki| Taguchi, Masahiro| Inada, Yoshihiko| Iizuka, Masaya| Abo, Tatsuhiko| Ueda, Hitoshi|
Abstract Alternative 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.
Keywords 小論文の自動採点 (Automatic scoring of answers of essay-writing tests) 単語ベクトル (Word vector) Skip-gram Wikipedia
Published Date 2017-09
Publication Title IEICE technical report. Natural language processing and models of communication
Volume volume117
Issue issue207
Publisher 電子情報通信学会
Start Page 47
End Page 51
ISSN 09135685
NCID AA11524632
Content Type Journal Article
language 日本語
OAI-PMH Set 岡山大学
Copyright Holders copyright©2017 IEICE
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