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- W158510366 abstract "Ontology learning from text is considered as an appealing and challeging alternative to address the shortcomings of the hand-crafted ontologies. In this paper, we present OLea, a new framework for ontology learning from text. The proposal is a hybrid approach combining the pattern-based and the distributionnal approaches. It addresses key issues in the area of ontology learning: context-dependency, low recall of the pattern-based approach, low precision of the distributionnal approach, and finally ontology evolution. Experiments performed at each stage of the learning process show the advantages and drawbacks of the proposal." @default.
- W158510366 created "2016-06-24" @default.
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- W158510366 date "2008-08-07" @default.
- W158510366 modified "2023-09-26" @default.
- W158510366 title "A Hybrid Approach for Taxonomy Learning from Text" @default.
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- W158510366 doi "https://doi.org/10.1007/978-3-7908-2084-3_21" @default.
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