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He, Yulan; Hui, Siu Cheung and Quan, Tho Thanh
(2009).
DOI: https://doi.org/10.1016/j.compedu.2009.05.008
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.
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About
- Item ORO ID
- 23364
- Item Type
- Journal Item
- ISSN
- 0360-1315
- Keywords
- summary writing assessment; intelligent tutoring systems; latent semantic analysis; N-gram co-occurrence; adaptive feedback
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2009 Elsevier Ltd
- Depositing User
- Kay Dave