AAAI Publications, Thirty-First AAAI Conference on Artificial Intelligence

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Semantic Proto-Role Labeling
Adam Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley

Last modified: 2017-02-12

Abstract


The semantic function tags of Bonial, Stowe, and Palmer (2013) and the ordinal, multi-property annotations of Reisinger et al. (2015) draw inspiration from Ddowty's semantic proto-role theory. We approach proto-role labeling as a multi-label classification problem and establish strong results for the task by adapting a successful model of traditional semantic role labeling. We achieve a proto-role micro-averaged F1 of 81.7 using gold syntax and explore joint and conditional models of proto-roles and categorical roles. In comparing the effect of Bonial, Stowe, and Palmer's tags to PropBank ArgN-style role labels, we are surprised that neither annotations greatly improve proto-role prediction; however, we observe that ArgN models benefit much from observed syntax and from observed or modeled proto-roles while our models of the semantic function tags do not.

Keywords


Semantic Role Labeling; Proto-Roles; Graphical Models

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