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» Tree Kernels for Semantic Role Labeling
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EMNLP
2009
13 years 5 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
ACL
2010
13 years 5 months ago
Edit Tree Distance Alignments for Semantic Role Labelling
Tree SRL system is a Semantic Role Labelling supervised system based on a tree-distance algorithm and a simple k-NN implementation. The novelty of the system lies in comparing the...
Hector-Hugo Franco-Penya
ACL
2006
13 years 9 months ago
A Comparison of Alternative Parse Tree Paths for Labeling Semantic Roles
The integration of sophisticated inference-based techniques into natural language processing applications first requires a reliable method of encoding the predicate-argument struc...
Reid Swanson, Andrew S. Gordon
CIDM
2007
IEEE
13 years 11 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
EMNLP
2004
13 years 9 months ago
Calibrating Features for Semantic Role Labeling
This paper takes a critical look at the features used in the semantic role tagging literature and show that the information in the input, generally a syntactic parse tree, has yet...
Nianwen Xue, Martha Palmer