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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Supervised Learning<br />
• Treat relation mining as a classification problem<br />
Use relational <strong>and</strong> non-relational mentions as positive <strong>and</strong> negative<br />
data, respectively<br />
• Solve it with supervised Machine learning algorithms<br />
Popular choices include SVM, MaxEnt, KNN<br />
• Key: data representation<br />
Feature based methods<br />
Kernel based methods<br />
• Evaluate metrics: Precision, Recall, F1 on relation mention<br />
level<br />
3/21/2012 9:28 AM
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