He, Yulan; Hui, Siu Cheung and Quan, Tho Thanh
(2009).
| URL: | http://portal.acm.org/citation.cfm?id=1511069 |
|---|---|
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1109/ICCET.2009.90 |
| Google Scholar: | Look up in Google Scholar |
Abstract
Computer-assisted assessment of summary writings is a challenging area which has recently attracted much interest from the research community. This is mainly due to the advances in other areas such as information extraction and natural language processing which have made automatic summary assessment possible. Different techniques such as Latent Semantic Analysis, -gram co-occurrence and BLEU have been proposed for automatic evaluation of summaries. However, these techniques are unable to achieve good performance. In this paper, we propose an ensemble approach, that integrates two of the most effective summary evaluation techniques, LSA and n-gram co-occurrence, for improving the accuracy of automatic summary assessment. The performance of the proposed ensemble approach has shown that it is able to achieve high accuracy and improve the performance quite substantially compared with other existing techniques.
| Item Type: | Conference or Workshop Item |
|---|---|
| Copyright Holders: | 2009 by The Institute of Electrical and Electronics Engineers, Inc. |
| Extra Information: | ICCET '09 Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 01
ISBN: 978-0-7695-3521-0 |
| Academic Unit/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) |
| Item ID: | 25094 |
| Depositing User: | Yulan He |
| Date Deposited: | 09 Dec 2010 12:40 |
| Last Modified: | 07 Dec 2018 09:44 |
| URI: | http://oro.open.ac.uk/id/eprint/25094 |
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