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» A Global Joint Model for Semantic Role Labeling
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ACL
2006
13 years 8 months ago
Semantic Role Labeling via FrameNet, VerbNet and PropBank
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...
Ana-Maria Giuglea, Alessandro Moschitti
COLING
2008
13 years 8 months ago
Semantic Role Assignment for Event Nominalisations by Leveraging Verbal Data
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...
Sebastian Padó, Marco Pennacchiotti, Caroli...
NAACL
2007
13 years 8 months ago
Can Semantic Roles Generalize Across Genres?
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...
Szu-ting Yi, Edward Loper, Martha Palmer
EMNLP
2007
13 years 8 months ago
Using Semantic Roles to Improve Question Answering
Shallow semantic parsing, the automatic identification and labeling of sentential constituents, has recently received much attention. Our work examines whether semantic role info...
Dan Shen, Mirella Lapata
ACL
2007
13 years 8 months ago
A Simple, Similarity-based Model for Selectional Preferences
We propose a new, simple model for the automatic induction of selectional preferences, using corpus-based semantic similarity metrics. Focusing on the task of semantic role labeli...
Katrin Erk