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Concept Hierarchy Induction by Philipp Cimiano

Concept Hierarchy Induction by Philipp Cimiano. Objective. Structure information into categories Provide a level of generalization to define relationships between data Application: Backbone of any ontology. Overview. Different approaches of acquiring conceptual hierarchies from text corpus.

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1.19k views • 95 slides

Learning Effective Patterns for Information Extraction

Learning Effective Patterns for Information Extraction. Gijs Geleijnse (gijs.geleijnse@philips.com). Overview. my view on O ntology Population / Information Extraction short discussion of global approach wrt Ontology Population a subproblem: learning relation patterns

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427 views • 21 slides

Learning Taxonomic Relations from Heterogeneous Evidence

Learning Taxonomic Relations from Heterogeneous Evidence. Philipp Cimiano Aleksander Pivk Lars Schmidt-Thieme Steffen Staab (ECAI 2004). Purpose. To examine the possibility of learning taxonomic relations by considering various sources of evidence

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255 views • 14 slides

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Hearst patterns - PowerPoint PPT Presentation

Concept Hierarchy Induction by Philipp Cimiano

Learning Effective Patterns for Information Extraction

Learning Taxonomic Relations from Heterogeneous Evidence