Extracting violent events from on-line news for ontology population

Authors:
Jakub Piskorski;Hristo Tanev;Pinar Oezden Wennerberg
Affiliations:
Joint Research Center of the European Commission, Web and Language Technology Group of IPSC, Ispra, VA, Italy;Joint Research Center of the European Commission, Web and Language Technology Group of IPSC, Ispra, VA, Italy;Joint Research Center of the European Commission, Web and Language Technology Group of IPSC, Ispra, VA, Italy
Venue:
BIS'07 Proceedings of the 10th international conference on Business information systems
Year:
2007

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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.