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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<strong>Unsupervised</strong> Learning for<br />
Knowledge Extraction<br />
• <strong>Text</strong>Runner [Banko et al. 2007]<br />
• State-of-the-art open information extraction<br />
• Only extracts triples<br />
• Extractions are largely unstructured and noisy<br />
• USP [Poon & Domingos 2009]<br />
• Form complete, detailed meaning representation<br />
• More robust to noise<br />
• Still limited to extractions with substantial evidence<br />
• Lacks ontological structures<br />
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