While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
We present new results from a real-user evaluation of a data-driven approach to learning user-adaptive referring expression generation (REG) policies for spoken dialogue systems. ...
We investigate the utility of supertag information for guiding an existing dependency parser of German. Using weighted constraints to integrate the additionally available informat...
Abstract. Continuous optimization of business process execution including its adaptation to changes within the market environment or the company itself becomes increasingly importa...
Mathias Fritzsche, Jendrik Johannes, Sebastian Cec...
Background: Structure-dependent substitution matrices increase the accuracy of sequence alignments when the 3D structure of one sequence is known, and are successful e.g. in fold ...