We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
Abstract. Scene structuring is a video analysis task for which no common evaluation procedures have been fully adopted. In this paper, we present a methodology to evaluate such tas...
Daniel Gatica-Perez, Napat Triroj, Jean-Marc Odobe...
Abstract. An architecture that provides personalised filtering and dissemination of news items is presented. It is based on user profiles and it provides mechanisms that allow the ...