Studies in health technology and informatics · 2004 · 43 citations · 8 references
Language StudiesBiomedical InformaticsLinguisticsComputational LinguisticsMorphologyNatural Language ProcessingLexical RelationsMedical TerminologyMorphological DisambiguationMorphological ParsingTerm ExtractionTerminology ManagementCompound Word MorphologyMedical Terminology InterpretationMedical VocabularyParser DesignSemantic Relations ExtractionSemantic Word RelationsSynonymy In Medical LanguageTerminology Annotation
Morphologically complex words, and particularly neoclassical compounds, form more than 60% of the neologisms in the biomedical field. Guessing their definitions and grouping them into semantic classes by means of lexical relations are thus two crucial improvements for handling these words, e.g., for information retrieval, indexing and text understanding applications. This paper describes a morphosemantic linguistic-based parser called DériF, currently developed in the framework of two projects, UMLF and VUMeF, and its application to French biomedical derived and compound words. It shows how the resulting morphologically tagged lexicon is enriched by semantic relations leading both to the synthesis of pseudo-definitions and to the constitution of classes of synonyms, hypo- and hypernyms.
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GALEN's model of parts and wholes: experience and comparisons.
Towards a Unified Medical Lexicon for French
Robert Baud, Anita Burgun, Patrick Ruch et al. · Studies in health technology and informatics · 2003 · 32 citations