Graph-Based Multi-Modality Learning for Topic-Focused Multi-Document Summarization

Xiaojun Wan, Jianguo Xiao
2009 International Joint Conference on Artificial Intelligence  
Graph-based manifold-ranking methods have been successfully applied to topic-focused multi-document summarization. This paper further proposes to use the multi-modality manifold-ranking algorithm for extracting topic-focused summary from multiple documents by considering the within-document sentence relationships and the cross-document sentence relationships as two separate modalities (graphs). Three different fusion schemes, namely linear form, sequential form and score combination form, are
more » ... ploited in the algorithm. Experimental results on the DUC benchmark datasets demonstrate the effectiveness of the proposed multi-modality learning algorithms with all the three fusion schemes.
dblp:conf/ijcai/WanX09 fatcat:vbqtjwqibfbpfaywddlxztr3ci