Paper: Generalizing semantic role annotations across syntactically similar verbs

ACL ID P07-1025
Title Generalizing semantic role annotations across syntactically similar verbs
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

Large corpora of parsed sentences with semantic role labels (e.g. PropBank) pro- vide training data for use in the creation of high-performance automatic semantic role labeling systems. Despite the size of these corpora, individual verbs (or role- sets) often have only a handful of in- stances in these corpora, and only a fraction of English verbs have even a sin- gle annotation. In this paper, we describe an approach for dealing with this sparse data problem, enabling accurate semantic role labeling for novel verbs (rolesets) with only a single training example. Our approach involves the identification of syntactically similar verbs found in Prop- Bank, the alignment of arguments in their corresponding rolesets, and the use of their corresponding annotations in Prop- Bank as surrogate tra...