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ICML
2006
IEEE
14 years 8 months ago
Kernelizing the output of tree-based methods
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
IPM
2008
159views more  IPM 2008»
13 years 7 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
ISITA
2010
13 years 5 months ago
Approximating discrete probability distributions with causal dependence trees
Abstract--Chow and Liu considered the problem of approximating discrete joint distributions with dependence tree distributions where the goodness of the approximations were measure...
Christopher J. Quinn, Todd P. Coleman, Negar Kiyav...
ACL
2010
13 years 5 months ago
Exploring Syntactic Structural Features for Sub-Tree Alignment Using Bilingual Tree Kernels
We propose Bilingual Tree Kernels (BTKs) to capture the structural similarities across a pair of syntactic translational equivalences and apply BTKs to sub-tree alignment along wi...
Jun Sun, Min Zhang, Chew Lim Tan
ALPIT
2008
IEEE
14 years 1 months ago
Tree Kernel-Based Semantic Relation Extraction Using Unified Dynamic Relation Tree
This paper proposes a Unified Dynamic Relation Tree (DRT) span for tree kernel-based semantic relation extraction between entity names. The basic idea is to apply a variety of lin...
Longhua Qian, Guodong Zhou, Fang Kong, Qiaoming Zh...