Abstract. This paper presents and motivates an extended ontology conceptual model which represents explicitly semantic information about concepts. This model results from explicitl...
The exponential growth of documents available in the World Wide Web makes it increasingly difficult to discover relevant information on a specific topic. In this context, growing ...
This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treeba...
Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi,...
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
This paper briefly describes a scalable architecture for implementing autonomous agents that act in a virtual world created for a computer game and must interact with it by suitabl...
Abstract. The O-OSCAR software architecture is a problem solving environment for complex scheduling problem that is based on a constraintbased representation. On top of this core r...