In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
: In this paper, we present NetAirt – a redirection system that separates redirection mechanisms from redirection policies. NetAirt is implemented in the form of a module for the...
Michal Szymaniak, Guillaume Pierre, Maarten van St...
We address the text-to-text generation problem of sentence-level paraphrasing — a phenomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our appro...
We have identified in previous work two translations for parametrically typed extensions of Java. The homogeneous translation maps type variables to a uniform representation, while...
- In this paper we investigate techniques offered by current object-oriented development methods for the specification of the user-system dialogue aspect of a software system. Curr...