Title: Exploring the Usefulness of Cross-lingual Information Fusion for Refining Real-time News Event Ex- traction: A Preliminary Study
Citation: Proceedings of Recent Advances in Natural Language Processing p. 210-217
Publisher: INCOMA Ltd
Publication Year: 2011
JRC N°: JRC66735
URI: http://lml.bas.bg/~iva/ranlp2011/RANLR2011_Proceedings.PDF
Type: Articles in periodicals and books
Abstract: Nowadays, many influential facts are re- ported multiple times by different sources and in different languages. This paper presents the results of an experiment on deploying cross-lingual information fu- sion techniques for refining the results of a large-scale multilingual news event extrac- tion system. Circa 10% of event descrip- tions extracted by the mono-lingual sys- tems could be refined. The overall gain in recall and precision against the best mono- lingual system was 6,4% and 4,8% respec- tively.
JRC Directorate:Space, Security and Migration

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