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PubMed · 10384521

Automatic extraction of linguistic knowledge from an international classification.

R Baud·C Lovis·A M Rassinoux·P A Michel·J R Scherrer
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Abstract

Automatic extraction of knowledge from large corpus of texts is an essential step toward linguistic knowledge acquisition in the medical domain. The current situation shows a lack of computer-readable large medical lexicons, with a partial exception for the English language. Moreover, multilingual lexicons with versatility for multiple languages applications are far from reach as long as only manual extraction is considered. Computer-assisted linguistic knowledge acquisition is a must. A multilingual lexicon differs from a monolingual one by the necessity to bridge the words in different languages. A kind of interlingua has to be built under the form of concepts to which the specific entries are attached. In the present approach, the authors have developed an intelligent rule-based tool in order to focus on a multilingual source of medical knowledge, like the International Classification of Disease (ICD) which contains a vocabulary of some 20,000 words, translated in numerous languages.

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DiseaseExpert SystemsHumansInformation Storage and RetrievalMultilingualismNatural Language ProcessingVocabulary, ControlledJournal ArticleResearch Support, Non-U.S. Gov't

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R Baud, C Lovis, A M Rassinoux, P A Michel, J R Scherrer. 1998. Automatic extraction of linguistic knowledge from an international classification.. https://pubmed.ncbi.nlm.nih.gov/10384521/

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