: This paper presents a systematic study of some major problems involved in the transformation of business process modelling languages to executable business process representation...
Wei Zhao, Rainer Hauser, Kamal Bhattacharya, Barre...
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...
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...
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Abstract. We present an approach for knowledge-free and unsupervised recognition of compound nouns for languages that use one-wordcompounds such as Germanic and Scandinavian langua...