143 search results - page 5 / 29 » A Generative Model for Semantic Role Labeling |
ACL
2006
13 years 9 months ago
2006
This article describes a robust semantic parser that uses a broad knowledge base created by interconnecting three major resources: FrameNet, VerbNet and PropBank. The FrameNet cor...
COLING
2008
13 years 9 months ago
2008
This paper presents a novel approach to the task of semantic role labelling for event nominalisations, which make up a considerable fraction of predicates in running text, but are...
ACL
2012
11 years 10 months ago
2012
We propose a probabilistic generative model for unsupervised semantic role induction, which integrates local role assignment decisions and a global role ordering decision in a uni...
ACL
2010
13 years 5 months ago
2010
This paper explores joint syntactic and semantic parsing of Chinese to further improve the performance of both syntactic and semantic parsing, in particular the performance of sem...
NAACL
2007
13 years 9 months ago
2007
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to...