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Automatic summary assessment for intelligent tutoring systems
ARTICLE

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Computers & Education Volume 53, Number 3, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

Summary writing is an important part of many English Language Examinations. As grading students’ summary writings is a very time-consuming task, computer-assisted assessment will help teachers carry out the grading more effectively. Several techniques such as latent semantic analysis (LSA), n-gram co-occurrence and BLEU have been proposed to support automatic evaluation of summaries. However, their performance is not satisfactory for assessing summary writings. To improve the performance, this paper proposes an ensemble approach that integrates LSA and n-gram co-occurrence. As a result, the proposed ensemble approach is able to achieve high accuracy and improve the performance quite substantially compared with current techniques. A summary assessment system based on the proposed approach has also been developed.

Citation

He, Y., Hui, S.C. & Quan, T.T. (2009). Automatic summary assessment for intelligent tutoring systems. Computers & Education, 53(3), 890-899. Elsevier Ltd. Retrieved November 21, 2019 from .

This record was imported from Computers & Education on January 31, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2009.05.008

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