Owing to the large set of features that are used for predicate identification and argument extraction, which typically result in sparseness problems for generative models, we estimate the probabilities using a classification model.
we use the Adaboost classifier (Schapire 1999) wherein a highly accurate classifier is built by combining many "weak" or "simple" base classifiers f i , each of which may only be moderately accurate.