The fundamental challenge for social computing is to contribute to fostering communities in which humans can transcend the limitation of the unaided, individual human mind by help...
In this work we discuss a number of issues for the design of hypertext systems in an actor-based model of computation. We examine how the "traditional" basic concepts whi...
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Most data-driven dependency parsing approaches assume that sentence structure is represented as trees. Although trees have several desirable properties from both computational and...