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...
Asynchronous data communication mechanisms (ACMs) have been extensively studied as data connectors between independently timed concurrent processes. In this work an automatic meth...
The paper presents a development framework for the Xputer prototype Map-oriented Machine with Parallel Data Access (MoM-PDA). The MoM-PDA operates as a reconfigurable accelerator t...
Reiner W. Hartenstein, Michael Herz, Ulrich Nageld...