Precision for all feature sets is around 34% (all statisticially significantly better than the dummy and significantly indistinguishable from one another), while human average precision is 91.5%.
the three top performing feature sets (All, Lexical, and Theoretical) all achieve recall around 70%, while average recall for the human annotators is only 49.3%.