Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Dative variation is a widely observed syntactic phenomenon in world languages (e.g. I gave John a book and I gave a book to John). It has been shown that which surface form will b...
Micro patterns are similar to design patterns, except that micro patterns stand at a lower, closer to the implementation, level of abstraction. Micro patterns are also unique in t...
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
We propose a novel unsupervised approach for distinguishing literal and non-literal use of idiomatic expressions. Our model combines an unsupervised and a supervised classifier. T...