We present a generative model for unsupervised coreference resolution that views coreference as an EM clustering process. For comparison purposes, we revisit Haghighi and Klein...
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
We propose a set of metrics for measuring the semantic implications of changes during ontology evolution. Our metrics focus on the changes of classes and associated axioms or annot...
This paper presents a three steps methodology for predicting the failure shear effort in concrete beams. In the first step, dimensional analysis is applied to obtain several sets o...
Amparo Alonso-Betanzos, Enrique Castillo, Oscar Fo...
There exists no methodical standard for conflict analysis in the selection of optimal rule refinements. Current rule base refinement systems select the best rule refinements out o...