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|Title:||On Refining Real-time Multilingual News Event Extraction through Deployment of Cross-Lingual Information Fusion Techniques|
|Authors:||PISKORSKI Jakub; BELAYEVA Jenya; ATKINSON Martin|
|Citation:||2011 European Intelligence and Security Informatics Conference Proceedings p. 38-45|
|Publisher:||Conference Publishing Services|
|Type:||Articles in periodicals and books|
|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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