@book{JRC36540,
	editor = {},
	address = {Berlin (Germany)},
	year = {2007},
	author = {Piskorski J and Tanev H and Oezden P},
	isbn = {},
	abstract = {This paper presents nexus, an event extraction system, developed at the Joint Research Center of the European Commission utilized for populating violent incident knowledge bases. It automatically extracts security-related facts from on-line news articles. In particular, the paper focuses on a novel bootstrapping algorithm for weakly supervised acquisition of extraction patterns from clustered news, cluster-level
		information fusion and pattern specification language. Finally, a preliminary evaluation of nexus on real-world data is given which revealed acceptable precision and a strong application potential.
		
		
		
		
		},
	title = {Extracting Violent Events from On-line News for Ontology Population},
	url = {http://www.springerlink.com/content/h48610025603/, http://www.springerlink.com/content/yj4018524j3q0656/?p=7137a0df574f4fe2a8c3e47a9491e4f3&pi=21},
	volume = {},
	number = {},
	journal = {},
	pages = {287-300},
	issn = {},
	publisher = {Springer},
	doi = {10.1007/978-3-540-72035-5}
}