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Real-time News Event Extraction for Global Monitoring Systems

This paper presents a real-time news event extraction system developed by the Joint Research Centre of the European Commission. It is capable of accurately and efficiently extracting violent and natural disaster events from online news without using much linguistic sophistication. In particular, in our linguistically relatively lightweight approach to event extraction clustered news have been heavily exploited at various stages of processing. The systems’ architecture, automatic pattern learning, our new pattern specification language, and information aggregation techniques are briefly described in this paper. Next, the issues of integrating event information in a global monitoring systems are addressed too. Finally, the results of accuracy evaluation are presented.