Beyond NomBank: A Study of Implicit Argumentation for Nominal Predicates

Title: 

Beyond NomBank: A Study of Implicit Argumentation for Nominal Predicates

Year of Publication:

2010

Authors:

Gerber, M, Chai, JY
 

Conference Name:

Association for Computational Linguistics

Publisher:

Association for Computational Linguistics

Abstract:

Despite its substantial coverage, NomBank does not account for all within-sentence arguments and ignores extra sentential arguments altogether. These arguments, which we call implicit, are important to semantic processing, and their recovery could potentially benefit many NLP applications. We present a study of implicit arguments for a select group of frequent nominal predicates. We show that implicit arguments are pervasive for these predicates, adding 65% to the coverage of NomBank. We demonstrate the feasibility of recovering implicit arguments with a supervised classification model. Our results and analyses provide a baseline for future work on this emerging task.