%A Heng CHEN, Hai JIN, Feng ZHAO %T PSG: a two-layer graph model for document summarization %0 Journal Article %D 2014 %J Front. Comput. Sci. %J Frontiers of Computer Science %@ 2095-2228 %R 10.1007/s11704-013-2292-2 %P 119-130 %V 8 %N 1 %U {https://journal.hep.com.cn/fcs/EN/10.1007/s11704-013-2292-2 %8 2014-02-01 %X

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.