Abstract
Natural Language Generation (NLG) and Medical Concept Representation can function to mutual benefit. NLG tools need a concept representation system for their semantics, whilst compositional and language independent Medical Concept Representation systems need NLG of readable expressions for composed concepts. To meet these needs, the roles of both sides and their links must be clearly defined. In particular, a clear distinction between concepts, terms and lexical items is necessary. The benefits of linking multilingual lexicons with a concept system are described, together with an architecture designed to integrate NLG within a set of terminological services.
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© 1997 Springer-Verlag Berlin Heidelberg
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Wagner, J.C., Lovis, C., Baud, R.H., Scherrer, JR. (1997). Medical Concept systems, lexicons and Natural Language Generation. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029473
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DOI: https://doi.org/10.1007/BFb0029473
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