In this paper we have presented a study of the performance of a state-of-the-art SRL system trained on two alternative codifications of roles (PropBank and VerbNet) and some particular settings, e.g., including/excluding verb-specific information in features, labeling of infrequent and unseen verb predicates, and domain shifts.
the role set is theoryneutral and consists of a set of numbered core arguments (Arg0, Arg1, ..., Arg5).