抽象的な
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
免責事項: この要約は人工知能ツールを使用して翻訳されており、まだレビューまたは確認されていません
