We evaluate the impact of our syntactic heuristics on classification over the Auto and PDTB test sets using the same instance set of 400,000 training instances per relation.
each applies different filters to the instances I before computing the frequencies F (all other parameters use the same values; these are set slightly differently than the optimized values discussed earlier because of the smaller training sets).