We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of line...
We present a robust parser which is trained on a treebank of ungrammatical sentences. The treebank is created automatically by modifying Penn treebank sentences so that they conta...
Jennifer Foster, Joachim Wagner, Josef van Genabit...
A general framework for performing robust, unsupervised tissue classification in magnetic resonance images is presented. Tissue classification is formulated as an estimation probl...
We present a noun chunker for German which is based on a head-lexicalised probabilistic contextfl'ee grammar. A manually developed grammar was semi-automatically extended wit...
It is often assumed that when natural language processing meets the real world, the ideal of aiming for complete and correct interpretations has to be abandoned. However, our expe...
Jerry R. Hobbs, Douglas E. Appelt, John Bear, Mabr...