We describe a course on the semantics of a simple imperative programming language and on applications to compilers, type systems, static analyses and Hoare logic. The course is ent...
We generalize Uno and Yagiura's algorithm for finding all common intervals of two permutations to the setting of two sequences with many-to-many alignment links across the tw...
Abstract. This paper describes recent approaches using text-mining to automatically profile and extract arguments from legal cases. We outline some of the background context and mo...
Adam Wyner, Raquel Mochales Palau, Marie-Francine ...
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
This paper presents two Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference of probabilistic context free grammars (PCFGs) from terminal strings, providing an altern...
Mark Johnson, Thomas L. Griffiths, Sharon Goldwate...