Ismaïl Timimi

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This article outlines the evaluation protocol and provides the main results of the French Evaluation Campaign for Machine Translation Systems, CESTA. Following the initial objectives and evaluation plans, the evaluation metrics are briefly described: along with fluency and adequacy assessed by human judges, a number of recently proposed automated metrics(More)
This paper describes the work achieved in CESART (Campagne d’Evaluation des Systèmes d’Acquisition des Ressources Terminologiques) evaluation project supported by the French Ministry of Research and Technology1 and coordinated by the University of Lille 3 and ELDA. The project deals with the evaluation of term and semantic relation extraction from corpora(More)
The InFile project (INformation, FILtering, Evaluation) is a cross-language adaptive filtering evaluation campaign, sponsored by the French National Research Agency. The campaign is organized by the CEA LIST, ELDA and the University of Lille3-GERiiCO. It has an international scope as it is a pilot track of the CLEF 2008 campaigns. The corpus is built from a(More)
In a previous study (Dabbadie, Mustafa, Timimi, 2001) we set a methodology for non interactive machine translation evaluation on big corpora, assuming that the goal of the translation was a simple understanding of the original message. The source text, in French, provided by INRA (Institut National pour la Recherche Agronomique i.e. National Institute for(More)
The InFile project (INformation, FILtering, Evaluation) is a cross-language adaptive filtering evaluation campaign, sponsored by the French National Research Agency. The project is organized by the CEA-LIST, ELDA and the Laboratory GERIICO of the University Lille3. It has an international scope as it was a pilot track of the CLEF 2008 and a main track of(More)
The INFILE@CLEF 2009 track is the second run of this track on the evaluation of cross-language adaptive filtering systems. It uses the same corpus as the 2008 track, composed of 300,000 newswires from Agence France Presse (AFP) in three languages: Arabic, English and French, and a set of 50 topics in general and specific domain (scientific and technological(More)
In this study, we are concerned by a field which represents an intellectual, social, and economic practice, strongly linked to a semi-automatic knowledge organization. lnformational Competitive lntelligence is characterized by two major distinctive features: transition from the classical activity of Information Retrieval to organised lnformation Filtering,(More)
This paper describes the ongoing evaluation work in CESART research project supported by the French Ministry of Research and Technology and coordinated by the University of Lille 3 and ELDA. The project deals with the evaluation of term and semantic relation extraction from corpora in French. CESART logically follows on the evaluation project achieved(More)
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