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BIOTEX: A system for biomedical terminology extraction, ranking, and validation

Lossio Ventura Juan Antonio, Jonquet Clément, Roche Mathieu, Teisseire Maguelonne. 2014. BIOTEX: A system for biomedical terminology extraction, ranking, and validation. In : Proceedings of the ISWC 2014 Posters and Demonstrations Track - 13th International Semantic Web Conference. Matthew Horridge (ed.), Marco Rospocher (ed.), Jacco van Ossenbruggen (ed.). s.l. : CEUR-WS, pp. 157-160. (CEUR Workshop Proceedings, 1272) International Semantic Web Conference (ISWC). 13, Riva del Garda, Italie, 19 October 2014/23 October 2014.

Paper with proceedings
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Type d'url non précisé : http://ceur-ws.org/Vol-1272/paper_122.pdf

Abstract : Term extraction is an essential task in domain knowledge acquisition. Although hundreds of terminologies and ontologies exist in the biomedical domain, the language evolves faster than our ability to formalize and catalog it. We may be interested in the terms and words explicitly used in our corpus in order to index or mine this corpus or just to enrich currently available terminologies and ontologies. Automatic term recognition and keyword extraction measures are widely used in biomedical text mining applications. We present BIOTEX, a Web application that implments state-of-the-art measures for automatic extraction of biomedical terms from free text in English and French. (Résumé d'auteur)

Classification Agris : C30 - Documentation and information
000 - Autres thèmes
U10 - Mathematical and statistical methods

Auteurs et affiliations

  • Lossio Ventura Juan Antonio, LIRMM (FRA)
  • Jonquet Clément, LIRMM (FRA)
  • Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568
  • Teisseire Maguelonne, LIRMM (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/576985/)

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