Title: Cluster-Centric Approach to News Event Extraction
Authors: PISKORSKI JakubTANEV HristoATKINSON MartinVAN DER GOOT Erik
Citation: Frontiers in Artificial Intelligence and Applications vol. 181 p. 276-290
Publisher: IOS Press
Publication Year: 2008
JRC Publication N°: JRC46850
URI: http://www.iospress.nl/loadtop/load.php?isbn=9781586039042; http://www.booksonline.iospress.nl/Content/View.aspx?piid=10335
http://publications.jrc.ec.europa.eu/repository/handle/JRC46850
DOI: 10.3233/978-1-58603-904-2-276
Type: Contributions to Conferences
Abstract: This paper presents a real-time and multilingual news event extraction system developed at the Joint Research Centre of the European Commission. It is capable of accurately and efficiently extracting violent and natural disaster events from online news. In particular, a linguistically relatively lightweight approach is deployed, in which clustered news are heavily exploited at all stages of processing. The paper focuses on the system¿s architecture, real-time news clustering, geolocating clusters, event extraction grammar development, adapting the system to the processing of new languages, cluster-level information fusion, visual event tracking and accuracy evaluation.
JRC Institute:Institute for the Protection and Security of the Citizen

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