BIOTEX: A system for biomedical terminology extraction, ranking, and validation
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.
Main Authors: | , , , |
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Format: | conference_item biblioteca |
Language: | eng |
Published: |
CEUR-WS
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Subjects: | C30 - Documentation et information, 000 - Autres thèmes, U10 - Informatique, mathématiques et statistiques, |
Online Access: | http://agritrop.cirad.fr/576985/ http://agritrop.cirad.fr/576985/1/Lossio_ISWC2014.pdf |
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Summary: | 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. |
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