Extracting Violent Events From On-Line News for Ontology Population

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.

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