35 search results - page 1 / 7 » Reverse Engineering of Tree Kernel Feature Spaces |
EMNLP
2009
13 years 2 months ago
2009
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. ...
ACL
2006
13 years 5 months ago
2006
This paper proposes a novel composite kernel for relation extraction. The composite kernel consists of two individual kernels: an entity kernel that allows for entity-related feat...
JMLR
2010
13 years 2 months ago
2010
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...
IPM
2008
13 years 4 months ago
2008
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
ACL
2010
13 years 2 months ago
2010
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...