BIOTEX: A system for Biomedical Terminology Extraction, Ranking, and Validation

Juan Antonio Lossio-Ventura 1, 2, * Clement Jonquet 1 Mathieu Roche 3, 2 Maguelonne Teisseire 3, 2
* Corresponding author
1 SMILE - Système Multi-agent, Interaction, Langage, Evolution
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
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 implements state-of-the-art measures for automatic extraction of biomedical terms from free text in English and French.
Keywords : BioTex Automatic Term Extraction Biomedical Terminology Extraction
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CIRAD | AGROPARISTECH | IRSTEA | ADVANSE | SMILE | AGROPOLIS | LIRMM | MIPS | UNIV-MONTPELLIER

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Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire. BIOTEX: A system for Biomedical Terminology Extraction, Ranking, and Validation. ISWC: International Semantic Web Conference, Oct 2014, Riva del Garda, Italy. pp.157-160. ⟨lirmm-01112894⟩

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