Two novel composite kernels for relation extraction

Xiaofeng Zhang,Zhiqiang Gao,Zheyi Rong,Yuelin Zhu

Two novel composite kernels for relation extraction

2011

Xiaofeng Zhang
Zhiqiang Gao
Zheyi Rong
Yuelin Zhu

Relation extraction aims at discovering relations between entities from free text, and it is a crucial part of information extraction. Recently, kernel methods have seen successfully applied in relation extraction.

Keywords:

Kernel (linear algebra)
Pattern recognition
Artificial intelligence
Support vector machine
Kernel method
Relationship extraction
Feature extraction
Machine learning
Information extraction
Composite number
Text mining
Mathematics
text messaging
Convolution
Computer science

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