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» Embedding the Semantic Knowledge in Convolution Kernels
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SKG
2006
IEEE
13 years 10 months ago
Embedding the Semantic Knowledge in Convolution Kernels
Convolution kernels, such as tree kernel and subsequence kernel are useful for natural language processing tasks. However, most of them ignore the semantic knowledge. In order to ...
Kebin Liu, Fang Li, Ying Han, Lei Liu
TASLP
2008
134views more  TASLP 2008»
13 years 4 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 2 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
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...
IPM
2008
159views more  IPM 2008»
13 years 4 months ago
Exploring syntactic structured features over parse trees for relation extraction using kernel methods
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
Min Zhang, Guodong Zhou, AiTi Aw