To support rule-writers, we are developing techniques to automatically analyze large number of public comments on proposed regulations. A document is analyzed in various ways incl...
: When developing a catalogue of technical requirements for online voting systems to be used in legally ruled, non-parliamentary elections, major interdisciplinary problems arise w...
In this paper we address the issue of automatically assigning information status to discourse entities. Using an annotated corpus of conversational English and exploiting morpho-s...
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...