FullText URL Association_Natural_Language_Processing_2017.pdf
Author Takeuchi, Koichi| 大野 雅幸| 泉仁 宏太| Taguchi, Masahiro| Inada, Yoshihiko| Iizuka, Masaya| Abo, Tatsuhiko| Ueda, Hitoshi|
Published Date 2017-03
Publication Title 言語処理学会年次大会発表論文集
Volume volume23
Publisher 言語処理学会
Start Page 839
End Page 842
NCID AA11909127
Content Type Conference Paper
language 日本語
OAI-PMH Set 岡山大学
File Version author
FullText URL Association_Natural_Language_Processing_2018.pdf
Author Ohno, Masayuki| 泉仁 宏太| Takeuchi, Koichi| 小畑 友也| Taguchi, Masahiro| Inada, Yoshihiko| Iizuka, Masaya| 阿保 達彦| 上田 均|
Published Date 2018-03
Publication Title 言語処理学会年次大会発表論文集
Volume volume24
Publisher 言語処理学会
Start Page 368
End Page 371
NCID AA11909127
Content Type Conference Paper
language 日本語
OAI-PMH Set 岡山大学
File Version author
Title Alternative Proposing an Unsupervised Approach to Evaluate Essays Using IDF on Reference Data
FullText URL NLC2018-33.pdf
Author Ohno, Masayuki| Takeuchi, Koichi| Motojin, Kota| Obata, Yuya| Taguchi, Masahiro| Inada, Yoshihiko| Iizuka, Masaya| Abo, Tatsuhiko| Ueda, Hitoshi|
Abstract Alternative 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. Key words automatic scoring of essays, human annotation, supporting
Keywords 自動採点 (automatic scoring of essays) アノテーション (human annotation) 採点支援 (supporting system of essay evaluation) idf neologd
Published Date 2018-12
Publication Title IEICE technical report. Natural language processing and models of communication
Volume volume118
Issue issue355
Publisher 電子情報通信学会
Start Page 103
End Page 108
ISSN 09135685
NCID AA11524632
Content Type Journal Article
language 日本語
OAI-PMH Set 岡山大学
Copyright Holders copyright@2018
File Version publisher
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
File Version publisher
JaLCDOI 10.18926/fest/11489
Title Alternative Considering variable selection criteria in correspondence analysis
FullText URL 010_049_056.pdf
Author Mori, Yuichi| Du, Xiao Dong| Iizuka, Masaya|
Abstract Ordinary goodness of fit criteria in correspondence analysis are considered as variable selection criteria in case correspondence analysis which is one of multivariate methods without external variables can be applied. The goodness of fit criteria focused here are proportion of cumulative eigenvalues, proportion of cumulative squared-eigenvalues and proportion of cumulative off-diagonal fitness. Each criterion is applied to a couple of real data sets and evaluated with interpretation of the selection process and result (selected subset of variables). Four selection procedures such as backward elimination and forward-backward selection are also performed to compare with each other as well as with all possible selection procedure. These results illustrate that the criteria can be used as selection criteria to select a subset of variables in correspondence analysis and to assess categorical items (questions) in a survey (questionnaire).
Publication Title 岡山大学環境理工学部研究報告
Published Date 2005-02-28
Volume volume10
Issue issue1
Start Page 49
End Page 56
ISSN 1341-9099
language 日本語
File Version publisher
NAID 120002313834
JaLCDOI 10.18926/fest/11429
Title Alternative Variable selection besed on global score estimation and its numerical investigation
FullText URL 012_029_040.pdf
Author Mori, Yuichi| Fueda, Kaoru| Iizuka, Masaya|
Abstract A variable selection method using global score estimation is proposed, which is applicable as a selection criterion in any multivariate method without external variables such as principal component analysis. This method selects a reasonable subset of variables so that the global scores, e.g. principal component scores, which are computed based on the selected variables, approximate the original global scores as well as possible in the context of the least squares. Three computational steps are proposed to estimate the scores according to how to satisfy the restriction that the estimated global scores are mutually uncorrelated. Three different examples are analyzed to demonstrate the performance and usefulness of the proposed method numerically, in which three steps are evaluated and the results obtained using four cost-saving selection procedures are compared.
Keywords principal components least square orthogonalization cost-saving selection
Publication Title 岡山大学環境理工学部研究報告
Published Date 2007-03-15
Volume volume12
Issue issue1
Start Page 29
End Page 40
ISSN 1341-9099
language 日本語
File Version publisher
NAID 120002313992
Author Iizuka, Masaya|
Published Date 2003-09-30
Publication Title
Content Type Thesis or Dissertation