Title: Real-Time News Event Extraction for Global Crisis Monitoring
Authors: TANEV HRISTOPISKORSKI JAKUBATKINSON MARTIN
Publisher: Springer
Publication Year: 2008
JRC Publication N°: JRC45831
ISBN: 978-3-540-69857-9
ISSN: 0302-9743
URI: http://publik.tuwien.ac.at/files/PubDat_167644.pdf
http://publications.jrc.ec.europa.eu/repository/handle/JRC45831
Type: Articles in books
Abstract: 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 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 paper describes the system¿s architecture, news geotagging, automatic pattern learning, pattern specification language, information aggregation, the issues of integrating event information in a global crisis monitoring system and new experimental evaluation.
JRC Institute:Institute for the Protection and Security of the Citizen

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