Semantic Information Extraction: Overview and Basic Techniques
Semantic Information Extraction: Overview and Basic Techniques
Semantic Information Extraction: Overview and Basic Techniques
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Kernel based Methods<br />
• Kernel (X, Y) defines similarity between X <strong>and</strong> Y<br />
• X <strong>and</strong> Y can be<br />
Vectors of features (as in previous slides)<br />
Objects (string sequence, Parse trees)<br />
• Kernel-based methods<br />
Don’t require extensive feature engineering<br />
Maybe computational expensive<br />
• Multiple Kernels can also be used in combination with a<br />
composite kernel (Zhao <strong>and</strong> Grishman, 2005)<br />
3/21/2012 9:28 AM
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