We present an adaptation of constraint satisfaction inference (Canisius et al., 2006b) for predicting dependency trees. Three different classifiers are trained to predict weighte...
Abstract: The theory of conceptual structures serves as a common basis for natural language processing and medical concept representation. We present a PROLOG-based formalization o...
This paper shows how the best data-driven dependency parsers available today [1] can be improved by learning from unlabeled data. We focus on German and Swedish and show that label...