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» A Hybrid Convolution Tree Kernel for Semantic Role Labeling
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ACL
2006
13 years 8 months ago
A Hybrid Convolution Tree Kernel for Semantic Role Labeling
A hybrid convolution tree kernel is proposed in this paper to effectively model syntactic structures for semantic role labeling (SRL). The hybrid kernel consists of two individual...
Wanxiang Che, Min Zhang, Ting Liu, Sheng Li
TALIP
2008
76views more  TALIP 2008»
13 years 7 months ago
Using a Hybrid Convolution Tree Kernel for Semantic Role Labeling
Wanxiang Che, Min Zhang, AiTi Aw, Chew Lim Tan, Ti...
TASLP
2008
134views more  TASLP 2008»
13 years 7 months ago
Semantic Role Labeling Using a Grammar-Driven Convolution Tree Kernel
Convolution tree kernel has shown promising results in semantic role labeling (SRL). However, this kernel does not consider much linguistic knowledge in kernel design and only perf...
Min Zhang, Wanxiang Che, Guodong Zhou, AiTi Aw, Ch...
ACL
2010
13 years 5 months ago
Convolution Kernel over Packed Parse Forest
This paper proposes a convolution forest kernel to effectively explore rich structured features embedded in a packed parse forest. As opposed to the convolution tree kernel, the p...
Min Zhang, Hui Zhang, Haizhou Li
ECML
2006
Springer
13 years 11 months ago
Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning. In particular, we propose a new convolution kerne...
Alessandro Moschitti