Relation Labelling in Ontology Learning: Experiments with Semantically Tagged Corpus

Ontology learning from text can be viewed as auxilliary technology for knowledge management application design. We proposed a technique for extraction of lexical entries that may give cue in assigning semantic labels to otherwise ‘anonymous’ non–taxonomic relations. In this paper we present experiments on semantically annotated corpus SemCor, and compare them with previous experiments on plain texts.

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