PSG: a two-layer graph model for document summarization

Authors:
Heng Chen;Hai Jin;Feng Zhao
Affiliations:
Service Computing Technology and System Lab & Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074;Service Computing Technology and System Lab & Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074;Service Computing Technology and System Lab & Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China 430074
Venue:
Frontiers of Computer Science: Selected Publications from Chinese Universities
Year:
2014

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Abstract

Graph model has been widely applied in document summarization by using sentence as the graph node, and the similarity between sentences as the edge. In this paper, a novel graph model for document summarization is presented, that not only sentences relevance but also phrases relevance information included in sentences are utilized. In a word, we construct a phrase-sentence two-layer graph structure model (PSG) to summarize document(s). We use this model for generic document summarization and query-focused summarization. The experimental results show that our model greatly outperforms existing work.