Lexical pattern generalization for ontology learning and population: A survey

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Rastegari, Y ; Sharif University of Technology

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Type of Document: Article
Abstract:
Information extraction and refinement systems rely on a set of extraction patterns in pattern based approaches in order to construct taxonomies and finding instances of concepts in a corpus. Pattern based methods have high precision and suffer from low recall. Pattern generalization and modeling techniques can increase matching power and decrease GAP between training and test data
Keywords:
Lexical pattern modeling ; Extraction patterns ; High precision ; Information extraction ; Lexical patterns ; Modeling technique ; Ontology learning ; Ontology learning and population ; Pattern based method ; Pattern generalization ; Test data ; Engineers ; Semantic Web ; Semantics ; Ontology
Source: Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010, 17 March 2010 through 19 March 2010 ; 2010 , Pages 551-554 ; 9789881701282 (ISBN)