Integrating various features to grade students' writings based on improved multivariate Bernoulli model

Tao Hsing Chang, Chien Liang Liu, Shou Yen Su, Yao-Ting Sung

Research output: Contribution to journalArticle

Abstract

Most of AES systems use various writing features as the scoring criteria. A valid mathematical model then integrates the various features demonstrated in the essay and calculates a possible score. Many studies have addressed the advantages and necessity of using multiple features to predict the score of an essay. These traditional prediction models have difficulty integrating various types of numerical data. However, the values, calculated by the features proposed by recent researches, are often not continuous numerical values. This study will propose an improved multivariate Bernoulli model to integrate features to predict an essay score even the value types of features are different

Original languageEnglish
Pages (from-to)45-52
Number of pages8
JournalInformation (Japan)
Volume17
Issue number1
Publication statusPublished - 2014 Jan 1

Keywords

  • Automatic essay scoring
  • Chinese
  • Feature integration
  • Multivariate Bernoulli model

ASJC Scopus subject areas

  • Information Systems

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