Ontological modelling for machine inference has featured prominently in IT management research recently, but there is more immediate scope for knowledge modelling in the realm of h...
Abstract. In this paper we present an efficient technique to obtain accurate semantic classification on the pixel level capable of integrating various modalities, such as color, ed...
Stefan Kluckner, Thomas Mauthner, Peter M. Roth, H...
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
Many semantic parsing models use tree transformations to map between natural language and meaning representation. However, while tree transformations are central to several state-...
Background: An adequate and expressive ontological representation of biological organisms and their parts requires formal reasoning mechanisms for their relations of physical aggr...