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Pruning Terminology Extracted from a Specialized Corpus for CV Ontology Acquisition

Mathieu Roche 1 Yves Kodratoff 2
1 TEXTE - Exploration et exploitation de données textuelles
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This paper presents an experimental study for extracting a terminology from a corpus made of Curriculum Vitae (CV). This terminology is to be used for ontology acquisition. The choice of the pruning rate of the terminology is crucial relative to the quality of the ontology acquired. In this paper, we investigate this pruning rate by using several evaluation measures (precision, recall, F-measure, and ROC curve).
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00113165
Contributor : Mathieu Roche <>
Submitted on : Saturday, November 11, 2006 - 2:16:08 AM
Last modification on : Thursday, July 8, 2021 - 3:48:35 AM

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  • HAL Id : lirmm-00113165, version 1

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Mathieu Roche, Yves Kodratoff. Pruning Terminology Extracted from a Specialized Corpus for CV Ontology Acquisition. OnToContent'06 workshop - On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops, 2006, pp.1107-1116. ⟨lirmm-00113165⟩

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