Unsupervised Ontology Induction From Text - Microsoft Research
Unsupervised Ontology Induction From Text - Microsoft Research
Unsupervised Ontology Induction From Text - Microsoft Research
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This Talk: OntoUSP<br />
• Jointly conducts: <strong>Ontology</strong> induction,<br />
population, and knowledge extraction<br />
• Learns ISA hierarchy over logical expressions<br />
• Populates it by translating sentences into<br />
logical forms<br />
Five times as many correct answers<br />
as <strong>Text</strong>Runner<br />
• Extends USP with hierarchical clustering<br />
• Hierarchical smoothing<br />
Improves on the recall of USP by 47%<br />
• Encoded in a few high-order formulas in<br />
Markov Logic [Richardson & Domingos, 2006]<br />
• Sole input is dependency trees<br />
10
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