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|Title:||Extracting Violent Events from On-line News for Ontology Population|
|Authors:||PISKORSKI JAKUB; TANEV HRISTO; OEZDEN Pinar|
|Citation:||Proceedings of the 10th International Conference Business Information Systems 2007 vol. 4439 p. 287-300|
|Type:||Contributions to Conferences|
|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.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
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