While perhaps neither of these results are surprising, we are pleasantly surprised by the extent to which the learned classifier outperforms the handcrafted rules: accuracies increase by 20.4% and 21.3% when gold coreference and Stanford coreference are used, respectively.
machine learning has "transformed" a ruleset that achieves mediocre performance into a system that achieves relatively high performance.