Title: On Refining Real-time Multilingual News Event Extraction through Deployment of Cross-Lingual Information Fusion Techniques
Authors: PISKORSKI JakubBELAYEVA JenyaATKINSON Martin
Citation: 2011 European Intelligence and Security Informatics Conference Proceedings p. 38-45
Publisher: Conference Publishing Services
Publication Year: 2011
JRC N°: JRC66736
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC66736
DOI: 10.1109/EISIC.2011.72
Type: Contributions to Conferences
Abstract: Nowadays, many influential security-related facts are reported multiple times by different sources and in dif- ferent languages. Therefore, in the recent years, the research on advancing event extraction technology shifted from classical single-document extraction toward cross-document information aggragation and fact validation. However, relatively little work has been reported on cross-lingual information fusion in this area. This paper presents the results of some preliminary experi- ments on deploying cross-lingual information fusion techniques for refining the results of a large-scale multilingual news event extraction system. Circa 8% of event descriptions extracted by the mono-lingual systems could be refined. The overall gain in recall and precision against the best mono-lingual system was 6,4% and 4,8% resp.
JRC Institute:Institute for the Protection and Security of the Citizen

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