For training, we create "0" and "1" training instances for each encountered anaphor, that is, the NP that is coreferential with at least one preceding NP.
given an anaphor and its antecedent candidates, a positive instance is generated for the closest antecedent and a set of negative instances is generated for each of the candidates that is not coreferential with the anaphor.