We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
Describing an application as a simple composition of services allows advanced features that exploit different platforms to be conceived e formalized at a high abstraction level. S...
Temporal relation resolution involves extraction of temporal information explicitly or implicitly embedded in a language. This information is often inferred from a variety of inte...
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
In this paper, we present our perspective on Model-Based User Interfaces (hereafter MBUI) paradigm and provide with our experience in this area combining high-level knowledge-base...