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...
Conventional programming models were designed to be used by expert programmers for programming for largescale multiprocessors, distributed computational clusters, or specialized p...
The refinement calculus of Back, Morgan, Morris, and others is based on monotone predicate transformers (weakest preconditions) where conjunctions stand for demonic choices betwee...
This paper presents a model for concurrent programming, where programs (concurrent program structures) are represented as composition expressions over component programs with suita...
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...