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IPM
2008
159views more  IPM 2008»
13 years 6 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
ACL
2006
13 years 7 months ago
A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features
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...
Min Zhang, Jie Zhang, Jian Su, Guodong Zhou
COLING
2008
13 years 7 months ago
Exploiting Constituent Dependencies for Tree Kernel-Based Semantic Relation Extraction
This paper proposes a new approach to dynamically determine the tree span for tree kernel-based semantic relation extraction. It exploits constituent dependencies to keep the node...
Longhua Qian, Guodong Zhou, Fang Kong, Qiaoming Zh...
ACL
2010
13 years 4 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
40
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ALPIT
2008
IEEE
14 years 27 days 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...