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	Multi-sentence Question Segmentation and Compression for Question Answering
	Wang, Yixiu ; Wu, Yunfang ; Lv, Xueqiang
	2015
关键词	Question answering Question compression Question segmentation Complex-question analysis
英文摘要	We present a multi-sentence question segmentation strategy for community question answering services to alleviate the complexity of long sentences. We develop a complete scheme and make a solution to complex-question segmentation, including a question detector to extract question sentences, a question compression process to remove duplicate information, and a graph model to segment multi-sentence questions. In the graph model, we train a SVM classifier to compute the initial weight and we calculate the authority of a vertex to guide the propagating. The experimental results show that our method gets a good balance between completeness and redundancy of information, and significantly outperforms state-of-the-art methods.; EI; CPCI-S(ISTP); labyrinth@pku.edu.cn; wuyf@pku.edu.cn; lxq@bistu.edu.cn; 475-483; 9362
语种	英语
出处	4th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC)
DOI标识	10.1007/978-3-319-25207-0_44
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436993]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wang, Yixiu,Wu, Yunfang,Lv, Xueqiang. Multi-sentence Question Segmentation and Compression for Question Answering. 2015-01-01.

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