Automatic Short -Answer Grading System (ASAGS)

نویسندگان

  • P. Selvi
  • A. K. Bnerjee
چکیده

Automatic assessment needs short answer based evaluation and automated assessment. Various techniques used are Ontology, Semantic similarity matching and Statistical methods. An automatic short answer assessment system is attempted in this paper. Through experiments performed on a data set, we show that the semantic ASAGS outperforms methods based on simple lexical matching; resulting is up to 59 percent with respect to the traditional vector-based similarity metric.

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عنوان ژورنال:
  • CoRR

دوره abs/1011.1742  شماره 

صفحات  -

تاریخ انتشار 2010