We propose a probabilistic generative model for unsupervised semantic role induction, which integrates local role assignment decisions and a global role ordering decision in a uni...
Privacy is widely recognised as a significant obstacle inhibiting the adoption of context-aware applications. In order to remove this obstacle, advances are required in many areas...
Karen Henricksen, Ryan Wishart, Ted McFadden, Jadw...
Argumentation can serve as an effective computational tool and as a useful abstraction for various agent activities and in particular for agent reasoning. In this paper we further ...
Abstract. Definitions for the uniform representation of d-dimensional matrices serially in Morton-order (or Z-order) support both their use with cartesian indices, and their divide...
We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of exampl...