Discovering and learning sensational episodes of news events

doi:10.1016/j.is.2018.05.003

	Discovering and learning sensational episodes of news events
	Ao, Xiang 1; Luo, Ping 1; Li, Chengkai 2; Zhuang, Fuzhen 1; He, Qing 1
	2018-11-01
发表期刊	INFORMATION SYSTEMS
ISSN	0306-4379
卷号	78 页码:68-80
摘要	In this paper, we study the problem of discovering and learning sensational episodes of news events. A sensational episode of news events is in the form of lhs -> rhs, where lhs is an antecedent event, rhs is a consequent event, and rhs often happens shortly after lhs. Such pairs of co-occurring news events within short period, while not necessarily bearing causal relationship between each other, are possible essential to media since they deliberately seek and broadcast examples of uncommon events to fascinate crowd attentions. First, to find all frequent episodes, we propose an efficient algorithm, MEELO, which significantly outperforms conventional algorithms. There can be a large number of frequent episodes. We rank them by their sensational effect from the perspectives of news audience, through learning from manually labeled examples. Instead of limiting ourselves to any individual subjective measure of sensational effect, we utilize a learning-to-rank approach that exploits multiple features to capture the sensational effect of a news episode from various aspects. NLP tools combined with knowledge bases are used in extracting and aggregating news events from news text. Experiments on real data verify our approach's efficiency and effectiveness. (C) 2018 Elsevier Ltd. All rights reserved.
DOI	10.1016/j.is.2018.05.003
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000446949000005
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4875
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Ao, Xiang
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China 2.Univ Texas Arlington, Arlington, TX 76019 USA
推荐引用方式 GB/T 7714	Ao, Xiang,Luo, Ping,Li, Chengkai,et al. Discovering and learning sensational episodes of news events[J]. INFORMATION SYSTEMS,2018,78:68-80.
APA	Ao, Xiang,Luo, Ping,Li, Chengkai,Zhuang, Fuzhen,&He, Qing.(2018).Discovering and learning sensational episodes of news events.INFORMATION SYSTEMS,78,68-80.
MLA	Ao, Xiang,et al."Discovering and learning sensational episodes of news events".INFORMATION SYSTEMS 78(2018):68-80.