The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
In this paper we analyse the problem of generating referring expressions in a multilingnal generation system that produces instructions on how to fill out pension forms. The model...
Automated evaluation is crucial in the context of automated text summaries, as is the case with evaluation of any of the language technologies. In this paper we present a Generativ...
Abstract. Model generation is an important formal technique for finding interesting instances of computationally hard problems. In this paper we study model generation over Horn lo...
: The main goal when synthesizing robust residual generators, for diagnosis and supervision, is to attenuate influence from model uncertainty on the residual while keeping fault de...