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	Comparative News Summarization using linear programming
	Huang, Xiaojiang ; Wan, Xiaojun ; Xiao, Jianguo
	2011
英文摘要	Comparative News Summarization aims to highlight the commonalities and differences between two comparable news topics. In this study, we propose a novel approach to generating comparative news summaries. We formulate the task as an optimization problem of selecting proper sentences to maximize the comparativeness within the summary and the representativeness to both news topics. We consider semantic-related cross-topic concept pairs as comparative evidences, and consider topic-related concepts as representative evidences. The optimization problem is addressed by using a linear programming model. The experimental results demonstrate the effectiveness of our proposed model. ? 2011 Association for Computational Linguistics.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321517]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Huang, Xiaojiang,Wan, Xiaojun,Xiao, Jianguo. Comparative News Summarization using linear programming. 2011-01-01.

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