An ensemble approach for semantic assessment of summary writings

He, Yulan; Hui, Siu Cheung and Quan, Tho Thanh (2009). An ensemble approach for semantic assessment of summary writings. In: International Conference on Computer Engineering and Technology , 22-27 Jan 2009, Singapore.

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, $n$ -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)
Interdisciplinary Research Centre:	Centre for Research in Computing (CRC)
Item ID:	25094
Depositing User:	Yulan He
Date Deposited:	09 Dec 2010 12:40
Last Modified:	04 Oct 2016 10:51
URI:	http://oro.open.ac.uk/id/eprint/25094
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