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MCPSLR 2008 : LREC 2008 Workshop on Multilingual and Comparative Perspectives in Specialized Language Resources | |||||||||||||
Link: http://www.lrec-conf.org/lrec2008/ | |||||||||||||
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Call For Papers | |||||||||||||
CALL FOR PAPERS
LREC 2008 Workshop on Multilingual and Comparative Perspectives in Specialized Language Resources 26 May 2008 (Afternoon session) To take place within the Language Resources and Evaluation Conference (LREC 2008) Marrakech, Morocco http://www.lrec-conf.org/lrec2008/ Organizers: Beatrice Daille LINA-CNRS, Universite de Nantes Kyo Kageura, Library and Information Science, University of Tokyo Marie-Claude L'Homme, Observatoire de linguistique Sens-Texte, Universite de Montreal Background We are currently witnessing an increasing interest in multilingualism in many different fields including IR (CLEF: Cross Language Evaluation Forum, annual), summarization (DUC),semantic aspects (SemEval 2007 Task 1: Evaluating WSD on Cross-Language Information Retrieval), textual corpora, etc. Although data mining and knowledge discovery in multimedia database systems, and domain experts in diverse areas, such as medical, surveillance, and education. Topics of contributions include (but are not limited to): Algorithms and Models Association rules for multimedia data mining Clustering algorithms for multimedia data mining Classification algorithms for multimedia data mining Conceptual clustering for multimedia data mining Neural networks for multimedia data mining Parallel and distributed data mining for multimedia data Multimedia data mining in pervasive computing Multimedia ontology Stream data mining algorithms Spatio-Temporal data mining and algorithms Applications Audio/Image/Video DBMSs Data mining system for medical multimedia data Multimedia segmentation Visualization Semantic web and annotation Summarization and abstraction Video abstraction Contents-based image/video retrieval systems Visualization Semantic web and annotation Summarization and abstraction Video abstraction Contents-based image/video retrieval systems |
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