An ontology learning method, based on large scale linguistic ontologies, such as FrameNet and WordNet, is here discussed. A robust learning method is defined to assign semantic roles to domain specific grammatical patterns according to distributional models of lexical semantics. Large scale experimental results over an IE task show an accuracy around 85-90%. © 2009 IEEE.

Basili, R., Croce, D., DE CAO, D., Giannone, C. (2009). Learning semantic roles for ontology patterns. In Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 (pp.291-294) [10.1109/WI-IAT.2009.285].

Learning semantic roles for ontology patterns

BASILI, ROBERTO;CROCE, DANILO;DE CAO, DIEGO;
2009-12-01

Abstract

An ontology learning method, based on large scale linguistic ontologies, such as FrameNet and WordNet, is here discussed. A robust learning method is defined to assign semantic roles to domain specific grammatical patterns according to distributional models of lexical semantics. Large scale experimental results over an IE task show an accuracy around 85-90%. © 2009 IEEE.
2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Milano, ita
2009
IEEE Computer Society
Rilevanza internazionale
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Settore INF/01 - Informatica
English
Computer Networks and Communications; Software
Intervento a convegno
Basili, R., Croce, D., DE CAO, D., Giannone, C. (2009). Learning semantic roles for ontology patterns. In Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 (pp.291-294) [10.1109/WI-IAT.2009.285].
Basili, R; Croce, D; DE CAO, D; Giannone, C
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/124139
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