Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
This paper describes a theoretical framework for inducing knowledge from incomplete data sets. The general framework can be used with any formalism based on a lattice structure. It...
The Varro toolkit is a system for identifying and counting a major class of regularity in treebanks and annotated natural language data in the form of treestructures: frequently r...
Abstract. This work presents an approach towards reconstructing ligament and tendon attachment sites from 3D medical image data. We apply statistical shape models with an additiona...
Heiko Seim, Hans Lamecker, Markus Heller, Stefan Z...
XML data can be represented by a tree or graph structure and XML query processing requires the information of structural relationships among nodes. The basic structural relationsh...