Use of Deep Linguistic Features for the Recognition and Labeling of Semantic Arguments

Abstract

We use deep linguistic features to predict semantic roles on syntactic arguments, and show that these perform considerably better than surface-oriented features. We also show that predicting labels from a “lightweight” parser that generates deep syntactic features performs comparably to using a full parser that generates only surface syntactic features.