摘要
图模型被作为边把句子用作图节点,和句子的类似广泛地在文件摘要使用了。在这份报纸,为文件摘要的一个新奇的图模型被介绍,在句子包括的那个不仅句子关联而且短语关联信息被利用。简言之,我们构造一个短语句子二层的图结构模型(PSG ) 到总结文件。我们为通用文件摘要和集中质问的摘要使用这个模型。试验性的结果证明我们的模型极大地超过存在工作。
Graph model has been widely applied in docu- ment 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 sum- marization. The experimental results show that our model greatly outperforms existing work.