This paper presents a model for generating prosodically appropriate synthesized responses to database queries using Combinatory Categorial Grammar (CCG - cf. [22]), a formalism wh...
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
We present a new approach to information fusion of web data sources. It is based on peer-to-peer mappings between sources and utilizes correspondences between their instances. Suc...
Erhard Rahm, Andreas Thor, David Aumueller, Hong H...
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
The objective of this paper is to suggest a systematic means by which the timing and focus of information technology policies can be used to optimize supply chain performance and ...