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ACL
2012

Unsupervised Semantic Role Induction with Global Role Ordering

6 years 10 months ago
Unsupervised Semantic Role Induction with Global Role Ordering
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 unified model. The role sequence is divided into intervals based on the notion of primary roles, and each interval generates a sequence of secondary roles and syntactic constituents using local features. The global role ordering consists of the sequence of primary roles only, thus making it a partial ordering.
Nikhil Garg, James Henserdon
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where ACL
Authors Nikhil Garg, James Henserdon
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