Ontology summarization is very important to quick understanding and selection of ontologies. In this paper, we study extractive summarization of ontology. We propose a notion of R...
This paper describes the process and the resources used to automatically annotate a French corpus of spontaneous speech transcriptions in super-chunks. Super-chunks are enhanced c...
Olivier Blanc, Matthieu Constant, Anne Dister, Pat...
This is the second participation of Institute of Statistical Studies and Research (ISSR) group in CLEF 2010-Medical image retrieval track. This paper describes our experiments in m...
We studied a number of measures that characterize the difficulty of a classification problem. We compared a set of real world problems to random combinations of points in this mea...
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...