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...
Offline handwriting recognition--the transcription of images of handwritten text--is an interesting task, in that it combines computer vision with sequence learning. In most syste...
Abstract. In this paper we use colored Petri nets (CPNs) and the supporting CPN Tools for the modeling and performance analysis of grid architectures. The notation of Petri nets is...
Nikola Trcka, Wil M. P. van der Aalst, Carmen Brat...
Semantic parsing is the task of mapping natural language sentences to complete formal meaning representations. The performance of semantic parsing can be potentially improved by u...
To study PP attachment disambiguation as a benchmark for empirical methods in natural language processing it has often been reduced to a binary decision problem (between verb or n...