For the non-anaphors [ 3 Schwartz] and [ 6 the debt market], we generate two sets of "00" instances.
traditionally, learning-based approaches to anaphora resolution adopt the single-candidate model, in which the potential antecedents (i.e., antecedent candidates) are considered in isolation for both learning and resolution.