Corpus-based identification and refinement of semantic classes.

Medical Language Processing (MLP), especially in specific domains, requires fine-grained semantic lexica. We examine whether robust natural language processing tools used on a representative corpus of a domain help in building and refining a semantic categorization. We test this hypothesis with ZELL...

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Autors principals: Nazarenko, A., Zweigenbaum, P., Bouaud, J., Habert, B.
Format: Artigo
Idioma:Inglês
Publicat: American Medical Informatics Association 1997
Matèries:
Research Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC2233482/
https://ncbi.nlm.nih.gov/pubmed/9357693
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