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	A new Re-ranking method for generic Chinese text summarization and its evaluation
	Wan, Xiaojun ; Peng, Yuxin
	2005
英文摘要	In this paper a new EMD-MMR (EMD: earth mover's distance; MMR: maximal marginal relevance) re-ranking method is proposed for generic Chinese text summarization. Our extraction-based summarization approach first ranks the sentences in a document by their weight calculated based on word frequency and position, and then re-ranks a few highly weighted sentences by the EMD-MMR method for sentence extraction. The proposed re-ranking method adopts a novel EMD-based similarity metric instead of the Cosine metric into the MMR approach. The EMD-based similarity metric can naturally take into account the semantic relatedness between words and compute the semantic similarity between texts with a many-to-many matching among words. We evaluate the performance of the proposed approach with a novel nk-blind method and the results demonstrate its effectiveness. ? Springer-Verlag Berlin Heidelberg 2005.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321537]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Wan, Xiaojun,Peng, Yuxin. A new Re-ranking method for generic Chinese text summarization and its evaluation. 2005-01-01.

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