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|Title:||Exploring the Usefulness of Cross-lingual Information Fusion for Refining Real-time News Event Ex- traction: A Preliminary Study|
|Authors:||PISKORSKI Jakub; ATKINSON Martin; BELAYEVA Jenya|
|Citation:||Proceedings of Recent Advances in Natural Language Processing p. 210-217|
|JRC Publication N°:||JRC66735|
|Type:||Contributions to Conferences|
|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 Institute:||Institute for the Protection and Security of the Citizen|
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