Abstract：This paper presents a novel method to enhance graph-based multi-document summarization by incorporating Wikipedia entities. The Wikipedia contents of high-frequency entities are extracted and arranged as the document collections background knowledge. Then the PageRank algorithm is used to sort these sentences in the document collections and an improved DivRank algorithm is applied to sort the sentences both in the document collections and the background knowledge. Finally the summary sentences are chosen based on a liner combination of these two ranking results. Results of experiments on the data of document understanding conference (DUC) 2005 show that the method proposed in this paper can effectively make use of the Wikipedia knowledge to improve the summary quality.
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2016, Vol. 30 
