Most distributed real-time embedded systems are specified combining state diagram and data flow languages. This leads to several real-time codes which together do not necessaril...
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...
In this paper we present an approach that combines multimedia reasoning and natural language processing for the semantic integration of automatic and manual image annotations base...
Stamatia Dasiopoulou, Johannes Heinecke, Carsten S...
Machine learning and statistical methods have yielded impressive results in a wide variety of natural language processing tasks. These advances have generally been regarded as eng...
In this paper a method for controlling the dialog in a natural language (NL) system is presented. It provides a deep modeling of information processing based on time dependent pro...