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	Phrase-based compressive cross-language summarization
	Yao, Jin-Ge ; Wan, Xiaojun ; Xiao, Jianguo
	2015
英文摘要	The task of cross-language document summarization is to create a summary in a target language from documents in a different source language. Previous methods only involve direct extraction of automatically translated sentences from the original documents. Inspired by phrasebased machine translation, we propose a phrase-based model to simultaneously perform sentence scoring, extraction and compression. We design a greedy algorithm to approximately optimize the score function. Experimental results show that our methods outperform the state-of-theart extractive systems while maintaining similar grammatical quality. ? 2015 Association for Computational Linguistics.; EI; 118-127
语种	英语
出处	Conference on Empirical Methods in Natural Language Processing, EMNLP 2015
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436871]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Yao, Jin-Ge,Wan, Xiaojun,Xiao, Jianguo. Phrase-based compressive cross-language summarization. 2015-01-01.

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