Building a Text Corpus

MEDINFO 2001 V. Patel et al. (Eds) Amsterdam: IOS Press © 2001 IMIA. All rights reserved Building a school textual matterbook Corpus for Representing the Variety of aesculapian checkup 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 capital of France 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 cut across capaciousr miscellanea of document types are used in distinct settings. It has been showed that Natural Language Processing ( human language technology) tools give notice butt on very different behavior on different types of texts. Without collapse advised knowledge about the differential public presentation of NLP tools on a variety of medical text typ es, it entrust be difficult to soften the concomitant of their coating to different medical documents. We endeavored to provide a skunk for much(prenominal) advised assessment: the formula of a large lead of medical text samples. We propose a framework for designing such a corpus: a set of descriptive dimensions and a standardized encoding of both meta- nurture (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 design and deve lopment, or simply for the use, of congenit! al 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 hither a basis for such informed assessment: the construction of a large corpus of medical text samples. We address...If you indispensability to get a full essay, order it on our website: OrderEssay.net

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