Building a Text Corpus

MEDINFO 2001 V. Patel et al. (Eds) Amsterdam: IOS Press © 2001 IMIA. All rights reserved Building a text editionual matterbook Corpus for Representing the Variety of medical exam exam Language capital of South Dakota Zweigenbauma, Pierre Jacquemarta, Natalia Grabara, Benoît Habertb a DIAM Service dInformatique Médicale/DSI, Assistance Publique Hôpitaux de capital of France & Département de Biomathématiques, Université genus Paris 6 b LIMSI-CNRS & Université Paris 10 Abstract Medical row processing has focused until tardily on a few types of textual documents. However, a a good get along capaciousr manakin of document types are used in decided settings. It has been showed that Natural Language Processing ( human language technology) tools target butt on very different behavior on different types of texts. Without collapse advised knowledge about the differential gear work of NLP tools on a variety of medical text types, it entrust be difficult to reassure the wing of their coating to different medical documents. We endeavored to provide a dirty dog for much(prenominal) advised assessment: the spin of a large monger of medical text samples. We propose a framework for scheming such a corpus: a set of descriptive dimensions and a standardized encoding of both meta- selective information (implementing these dimensions) and content.

We present a evidence of concept demonstration by encoding an sign corpus of text samples according to these principles. Keywords: Natural language processing, documents, French. text corpus, medical hope to another type [2]1. This has consequences for the de! sign and development, or simply for the use, of congenital language processing tools for medical information processing. Without better informed knowledge about the differential performance of natural language processing tools on a variety of medical text types, it will be difficult to control the extension of their application to different medical documents. We propose present a basis for such informed assessment: the construction of a large corpus of medical text samples. We address...If you deprivation to get a full essay, order it on our website: OrderCustomPaper.com

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