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Evaluating DOGMA-lexons generated automatically from a text corpus

By Peter Spyns, A. Johannes Pretorius and Marie-laure Reinberger


Abstract. Our purpose was to devise a method to evaluate the results of extracting semantic relations from text corpora in an unsupervised way. We have worked on a legal corpus (EU VAT directive) consisting of 43K words. Using a shallow parser, a set of ”lexons ” have been produced. These are to be used as preprocessed material for the construction of ontologies from scratch. A knowledge engineer has judged that the outcome is useful to support and speed up the ontology modelling task. In addition, a quantitative scoring method (coverage and accuracy measures resulting in a 52.38 % and 47.12 % score respectively) has been applied

Topics: text mining, ontology creation, quantitative) evaluation
Year: 2014
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