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Informatika i Ee Primeneniya [Informatics and its Applications], 2013, Volume 7, Issue 1, Pages 94–104
(Mi ia249)
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This article is cited in 1 scientific paper (total in 1 paper)
Information method for assessment semantic adequacy of texts
L. A. Kuznetsov, V. F. Kuznetsova Lipetsk State Technical University
Abstract:
A problem of automated knowledge examination is considered based on intelligent comparison of student's answers with reference knowledge chunks. In order to increase relevance of automatically drawn conclusions, the information theory ground is used to develop the original methodology of textual content closeness evaluation. As a part of this work, this approach is applied to evaluate how close students' essays match reference textual blocks, relating to a subject.
Keywords:
semantic similarity texts; probabilistic model of text; information theory; entropy; transmitted information of texts; knowledge estimate automatization.
Citation:
L. A. Kuznetsov, V. F. Kuznetsova, “Information method for assessment semantic adequacy of texts”, Inform. Primen., 7:1 (2013), 94–104
Linking options:
https://www.mathnet.ru/eng/ia249 https://www.mathnet.ru/eng/ia/v7/i1/p94
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