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» A Hybrid Convolution Tree Kernel for Semantic Role Labeling
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ACL
2007
13 years 6 months ago
A Grammar-driven Convolution Tree Kernel for Semantic Role Classification
Convolution tree kernel has shown promising results in semantic role classification. However, it only carries out hard matching, which may lead to over-fitting and less accurate s...
Min Zhang, Wanxiang Che, AiTi Aw, Chew Lim Tan, Gu...
COLING
2008
13 years 5 months ago
Tree Kernels for Semantic Role Labeling
Alessandro Moschitti, Daniele Pighin, Roberto Basi...
AIIA
2007
Springer
13 years 11 months ago
A Tree Kernel-Based Shallow Semantic Parser for Thematic Role Extraction
We present a simple, two-steps supervised strategy for the identification and classification of thematic roles in natural language texts. We employ no external source of informat...
Daniele Pighin, Alessandro Moschitti
ECAI
2006
Springer
13 years 8 months ago
Semantic Tree Kernels to Classify Predicate Argument Structures
Recent work on Semantic Role Labeling (SRL) has shown that syntactic information is critical to detect and extract predicate argument structures. As syntax is expressed by means of...
Alessandro Moschitti, Bonaventura Coppola, Daniele...
EMNLP
2009
13 years 2 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