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This paper gives the final results of the ESTER evaluation campaign which started in 2003 and ended in January 2005. The aim of this campaign was to evaluate automatic broadcast news rich transcription systems for the French language. The evaluation tasks were divided into three main categories: orthographic transcription, event detection and tracking (e.g. speech vs. music, speaker tracking), and information extraction. The last one, limited to named entity detection in this evaluation, was a preliminary test. The paper reports on protocols and gives the results obtained in the campaign. 1.
Galliano et al. (Sun,) studied this question.
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