Consider a filter that simply predicts that every sentence is incorrectly parsed: it would have an overall accuracy of 55% on our WSJ corpus, not too much worse than WOODWARD's classification accuracy of 66% on this data.
such a filter would be useless because it filters out every correctly parsed sentence.