We present a semi-supervised machine-learning approach for the classification of adjectives into property- vs. relationdenoting adjectives, a distinction that is highly relevant f...
The seemingly simple choice of whether to use call variance or call subsumption in a tabled evaluation deeply affects an evaluation’s properties. Most tabling implementations hav...
The paper presents the main results of the IST FP6 INFRAWEBS project. The project has developed an easy and effective way of constructing and using semantic descriptions for existi...
In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
Background: Information extraction (IE) efforts are widely acknowledged to be important in harnessing the rapid advance of biomedical knowledge, particularly in areas where import...
Lawrence Hunter, Zhiyong Lu, James Firby, William ...