The great importance of cross-document relationships for multi-document summarization

Authors:
Xiaojun Wan;Jianwu Yang;Jianguo Xiao
Affiliations:
Institute of Computer Science and Technology, Peking University, Beijing, China;Institute of Computer Science and Technology, Peking University, Beijing, China;Institute of Computer Science and Technology, Peking University, Beijing, China
Venue:
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Year:
2006

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Abstract

Graph-based methods have been developed for multi-document summarization in recent years and they make use of the relationships between sentences in a graph-based ranking algorithm to extract salient sentences. This paper proposes to differentiate the cross-document relationships and the within-document relationships between sentences for multi-document summarization. The two kinds of relationships between sentences are deemed to have unequal contributions in the graph-based ranking algorithm. We apply the graph-based ranking algorithm based on each kind of sentence relationships and explore their relative importance for multi-document summarization. Experimental results on DUC 2002 and DUC 2004 data demonstrate the great importance of the cross-document relationships between sentences for multi-document summarization. Even the system based only on the cross-document relation-ships can perform better than or at least as well as the systems based on both kinds of relationships between sentences.