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JMLR
2010
155views more  JMLR 2010»
13 years 2 months ago
Approximate Tree Kernels
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...
Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Ro...
ACL
2006
13 years 6 months ago
Efficient Sentence Retrieval Based on Syntactic Structure
This paper proposes an efficient method of sentence retrieval based on syntactic structure. Collins proposed Tree Kernel to calculate structural similarity. However, structual ret...
Hiroshi Ichikawa, Keita Hakoda, Taiichi Hashimoto,...
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
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...
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
13 years 2 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti