He, Yulan; Hui, Siu Cheung and Quan, Tho Thanh
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|DOI (Digital Object Identifier) Link:||http://dx.doi.org/doi:10.1016/j.compedu.2009.05.008|
|Google Scholar:||Look up in Google Scholar|
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.
|Item Type:||Journal Article|
|Copyright Holders:||2009 Elsevier Ltd|
|Keywords:||summary writing assessment; intelligent tutoring systems; latent semantic analysis; N-gram co-occurrence; adaptive feedback|
|Academic Unit/Department:||Knowledge Media Institute|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Kay Dave|
|Date Deposited:||30 Sep 2010 11:59|
|Last Modified:||26 Oct 2012 04:31|
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