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Ensemble Methods for Multi-Document Summarization
WAN Xiaojun * #
Institute of Computer Science and Technology, Peking University
*Correspondence author
#Submitted by
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Funding: The Research Fund for the Doctoral Program of Higher Education of China （No.No.20070001059）
Opened online:16 March 2011
Accepted by: none
Citation: WAN Xiaojun.Ensemble Methods for Multi-Document Summarization[OL]. [16 March 2011] http://en.paper.edu.cn/en_releasepaper/content/4415377
 
 
Ensemble methods are usually an effective way to improve system performance. The assumption is that the results of different systems are diverse and complementary to each other. This study examines the benefits of system combination for multi-document summarization. Three typical unsupervised summarization systems are developed and a few combination techniques are employed to combine the results of the individual systems. We also propose the ensemble's ensemble method to further improve the performance. Experimental results on the DUC2004 benchmark dataset demonstrate the effectiveness of the ensemble methods.
Keywords:Multi-document summarization; ensemble methods
 
 
 

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