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Semantic Role Labeling of Implicit Arguments for Nominal Predicates.
- Source :
- Computational Linguistics; Dec2012, Vol. 38 Issue 4, p755-798, 44p, 11 Charts, 2 Graphs
- Publication Year :
- 2012
-
Abstract
- Nominal predicates often carry implicit arguments. Recent work on semantic role labeling has focused on identifying arguments within the local context of a predicate; implicit arguments, however, have not been systematically examined. To address this limitation, we have manually annotated a corpus of implicit arguments for ten predicates from NomBank. Through analysis of this corpus, we find that implicit arguments add 71% to the argument structures that are present in NomBank. Using the corpus, we train a discriminative model that is able to identify implicit arguments with an F1 score of 50%, significantly outperforming an informed baseline model. This article describes our investigation, explores a wide variety of features important for the task, and discusses future directions for work on implicit argument identification. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08912017
- Volume :
- 38
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Computational Linguistics
- Publication Type :
- Academic Journal
- Accession number :
- 83413933
- Full Text :
- https://doi.org/10.1162/COLI_a_00110