A Corpus of Spanish clinical records annotated for abbreviation identification

Mercedes Aguado, Nuria Bel


With the deployment of Electronic Health Records, much effort is being devoted to the development of Natural Language Processing tools that convert information described in these clinical records into structured data to be exploited. Clinical records main characteristic is that they are free text. They are normally written under pressure as memory notes and contain a high number of abbreviations that are an issue for automatic processing. In this article we present the IULA Spanish Clinical Records Corpus annotated for abbreviation identification

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