He, Yulan; Hui, Siu Cheung and Quan, Tho Thanh
Automatic summary assessment for intelligent tutoring systems.
Computers and Education, 53(3) pp. 890–899.
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.
||2009 Elsevier Ltd
||summary writing assessment; intelligent tutoring systems; latent semantic analysis; N-gram co-occurrence; adaptive feedback
||Knowledge Media Institute
|Interdisciplinary Research Centre:
||Centre for Research in Computing (CRC)
||30 Sep 2010 11:59
||20 Jun 2014 12:48
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