Discovering and learning sensational episodes of news events

doi:10.1016/j.is.2018.05.003

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Discovering and learning sensational episodes of news events
	Ao, Xiang 1; Luo, Ping 1; Li, Chengkai 2; Zhuang, Fuzhen 1; He, Qing 1
刊名	INFORMATION SYSTEMS
	2018-11-01
卷号	78 页码:68-80
ISSN号	0306-4379
DOI	10.1016/j.is.2018.05.003
英文摘要	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.
WOS研究方向	Computer Science
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000446949000005
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/4874]
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.