Multi-document Summarization Method Based on Topic-concepts Extract
Guiquan Liu · Jisuanji gongcheng · 2010
In this paper,an effective topic-concepts extract method is proposed and applied in multi-document summarization. The synonymy and hyponymy in WordNet are used to process word semantic disambiguate and to merge concept-trees. The topic-concepts are extracted through the concept optimization method afterward. Using the topic-concepts,the Vector Space Model(VSM) is constructed and the summary is produced through Maximal Marginal Relevance(MMR) method. The special aspect of this method is that the word counting in traditional method is replaced by concept counting,and can get important information more exactly from the corpus. Experimental result on DUC2005 evaluation indicates that the method can produce better summary compared with traditional method.