Combining multiple classifiers via combining schemes or meta-learners has led to substantial improvements in many classification problems. One of the challenging tasks is to choos...
We introduce the possibility of combining lexical association measures and present empirical results of several methods employed in automatic collocation extraction. First, we pre...
Abstract. The Galois connection involving polymorphisms and coclones has received a lot of attention in regard to constraint satisfaction problems. However, it fails if we are inte...
- An ideal ensemble is composed of base classifiers that perform well and that have minimal overlap in their errors. Eliminating classifiers from an ensemble based on a criterion t...
Complex tasks like question answering need to be able to identify events in text and the relations among those events. We show that this event identification task and a related ta...