Improving implicit semantic role labeling by predicting semantic frame arguments KU Leuven
Implicit semantic role labeling (iSRL) is the task of predicting the semantic roles of a predicate that do not appear as explicit arguments, but rather regard common senseknowledge or are mentioned earlier in the discourse. We introduce an approach to iSRL based on a predictive recurrent neural semantic frame model (PRNSFM) thatuses a large unannotated corpus to learn the probability of a sequence of semantic arguments given a predicate. We ...