PropBank Comes of Age - Larger, Smarter, and more Diverse

Sameer Pradhan, Julia Bonn, Skatje Myers, Kathryn Conger, Tim O'Gorman, James Gung, Kristin Wright-Bettner, Martha Palmer

Abstract: This paper describes the evolution of the PropBank approach to semantic role labeling over the last two decades. During this time the PropBank frame files have been expanded to include non-verbal predicates such as adjectives, prepositions and multi-word expressions. The number of domains, genres and languages that have been PropBanked has also expanded greatly, creating an opportunity for much more challenging and robust testing of the generalization capabilities of PropBank semantic role labeling systems. We also describe the substantial effort that has gone into ensuring the consistency and reliability of the various annotated datasets and resources, to better support the training and evaluation of such systems