In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Abstract. We present a method that uses GeoWordNet for Geographical Information Retrieval. During the indexing phase, all places are disambiguated and assigned their coordinates on...
We present a class of models that are discriminatively trained to directly map from the word content in a query-document or documentdocument pair to a ranking score. Like Latent Se...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
We combine techniques of XML Mining and Text Mining for the benefit of Information Retrieval. By manipulating the word sequence according to the XML structure of the marked-up tex...
Recent advances in on-line data capturing technologies and its widespread deployment in devices like PDAs and notebook PCs is creating large amounts of handwritten data that need ...