We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
In this paper, we describe design motivations and experience with a visual language that treats the architecture of a reactive system as a composition of small, asynchronous softw...
Abstract. We consider a call-by-value language, with higher-order functions, records, references to values of arbitrary type, and subtyping. We adapt an intrinsic denotational mode...
To make use of data represented on the Semantic Web, it is necessary to provide languages for Web data retrieval and evolution. This article introduces into the (conventional and S...
In this paper, we present an approach for the retrieval of natural scenes based on a semantic modeling step. Semantic modeling stands for the classification of local image regions...