Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
We propose a simple two-level hierarchical probability model for unsupervised word segmentation. By treating words as strings composed of morphemes/phonemes which are themselves c...
Most databases contain “name constants” like course numbers, personal names, and place names that correspond to entities in the real world. Previous work in integration of het...
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
In the development process of a B2B system it is crucial that the business experts are able to express and evaluate agreements and commitments between the partners and that the so...
Christian Huemer, Marco Zapletal, Philipp Liegl, R...