We present a simple, robust generation system which performs content selection and surface realization in a unified, domain-independent framework. In our approach, we break up the...
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
This paper presents a general architecture towards a more generic approach to conversational agents. Our architecture contains generic (in sense of application independent) natura...
Large-scale grammar-based parsing systems nowadays increasingly rely on independently developed, more specialized components for pre-processing their input. However, different too...
Peter Adolphs, Stephan Oepen, Ulrich Callmeier, Be...
While numerous metrics for information retrieval are available in the case of binary relevance, there is only one commonly used metric for graded relevance, namely the Discounted ...
Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre...