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- W1672743 abstract "This paper presents an annotation tool that detects entities in the biomedical domain. By enriching the lexica of the Freeling analyzer with bio-medical terms extracted from dictionaries and ontologies as SNOMED CT, the system is able to automatically detect medical terms in texts. An evaluation has been performed against a manually tagged corpus focusing on entities referring to pharmaceutical drug-names, substances and diseases. The obtained results show that a good annotation tool would help to leverage subsequent processes as data mining or pattern recognition tasks in the biomedical domain." @default.
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- W1672743 date "2013-01-01" @default.
- W1672743 modified "2023-09-24" @default.
- W1672743 title "Automatic Annotation of Medical Records in Spanish with Disease, Drug and Substance Names" @default.
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- W1672743 doi "https://doi.org/10.1007/978-3-642-41827-3_67" @default.
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