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
Anthology ID:
2022.starsem-1.24
Volume:
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
Month:
July
Year:
2022
Address:
Seattle, Washington
Venue:
*SEM
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
278–288
Language:
URL:
https://aclanthology.org/2022.starsem-1.24
DOI:
10.18653/v1/2022.starsem-1.24
Bibkey:
Cite (ACL):
Sameer Pradhan, Julia Bonn, Skatje Myers, Kathryn Conger, Tim O’gorman, James Gung, Kristin Wright-bettner, and Martha Palmer. 2022. PropBank Comes of Age—Larger, Smarter, and more Diverse. In Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, pages 278–288, Seattle, Washington. Association for Computational Linguistics.
Cite (Informal):
PropBank Comes of Age—Larger, Smarter, and more Diverse (Pradhan et al., *SEM 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.starsem-1.24.pdf
Data
English Web TreebankFrameNetNomBank