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	Discovering Concept-Level Event Associations from a Text Stream
	Ge, Tao ; Cui, Lei ; Ji, Heng ; Chang, Baobao ; Sui, Zhifang
	2016
英文摘要	We study an open text mining problem - discovering concept-level event associations from a text stream. We investigate the importance and challenge of this task and propose a novel solution by using event sequential patterns. The proposed approach can discover important event associations implicitly expressed. The discovered event associations are general and useful as knowledge for applications such as event prediction.; National Key Basic Research Program of China [2014CB340504]; Research Fund for the Doctoral Program of Higher Education [20130001110027]; National Natural Science Foundation of China [61375074, 61273318]; CPCI-S(ISTP); 413-424; 10102
语种	英语
出处	5th International Conference on Natural Language Processing and Chinese Computing (NLPCC) / 24th International Conference on Computer Processing of Oriental Languages (ICCPOL)
DOI标识	10.1007/978-3-319-50496-4_34
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/470118]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Ge, Tao,Cui, Lei,Ji, Heng,et al. Discovering Concept-Level Event Associations from a Text Stream. 2016-01-01.

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