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Identifying Semantic Roles Using Combinatory Categorial Grammar

Authors :
PENNSYLVANIA UNIV PHILADELPHIA
Gildea, Daniel
Hockenmaier, Julia
PENNSYLVANIA UNIV PHILADELPHIA
Gildea, Daniel
Hockenmaier, Julia
Source :
DTIC
Publication Year :
2003

Abstract

We present a system for automatically identifying PropBank-style semantic roles based on the output of a statistical parser for Combinatory Categorical Grammar. This system performs at least as well as a system based on a traditional Treebank parser, and outperforms it on core argument roles.

Details

Database :
OAIster
Journal :
DTIC
Notes :
text/html, English
Publication Type :
Electronic Resource
Accession number :
edsoai.ocn831966632
Document Type :
Electronic Resource