抽象的

MR2P: A mutually reinforced relevance propagation model for query-focused multi-document summarization

Jicheng Wei, Libin Yang, Shuqin Li, Xiaoyan Cai, Shengzhe Wang

Query-focused multi-document summarization aims to create a compressed summary biased to a given query. This paper presents a mutually reinforced relevance propagation (MR2P) approach to this summarization task. Experiments are conducted on the DUC 2005 and DUC 2006 data sets and the ROUGE evaluation results demonstrate the advantages of the proposed approach