We present a novel connectionist model for acquiring the semantics of a simple language through the behavioral experiences of a real robot. We focus on the “compositionality” ...
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Abstract. Regarding web searches, users have become used to keywordbased search interfaces due to their ease of use. However, this implies a semantic gap between the user's in...
Carlos Bobed, Raquel Trillo, Eduardo Mena, Sergio ...
A central problem in grounded language acquisition is learning the correspondences between a rich world state and a stream of text which references that world state. To deal with ...
Several medical natural language processing (NLP) systems currently base on ontologies that provide the domain knowledge. But, relationships between concepts defined in ontologies ...