In fact, our analysis of the current data set reveals that most P-Prons refer back to a P-Pron or NE candidate whose semantic category (human) has been determined.
simply using features NE and Pron is sufficient to guarantee a high success, and thus the relatively weak semantic feature would not be taken in the learned decision tree for resolution.