We introduce perturbation kernels, a new class of similarity measure for information retrieval that casts word similarity in terms of multi-task learning. Perturbation kernels mode...
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
As XML documents contain both content and structure information, taking advantage of the document structure in the retrieval process can lead to better identify relevant informati...
Karen Sauvagnat, Mohand Boughanem, Claude Chrismen...
The availability of a document’s logical structure in XML retrieval allows retrieval systems to return document portions (elements) instead of whole documents. This helps searche...
We introduce a general framework that is based on distance semantics and investigate the main properties of the entailment relations that it induces. It is shown that such entailm...