Unlike some of the discriminative baselines, which require expensive operations 9 on 9 It is true that in order train our system, one must parse large amounts of training data, which can be costly, though it only needs to be done once.
even with observed training trees, the discriminative algorithms must still iteratively perform expensive operations (like parsing) for each sentence, and a new model must be trained for new types of negative data.