MEDINFO 2001 V. Patel et al. (Eds) Amsterdam: IOS Press © 2001 IMIA. All rights reserved Building a schoolbookual matterbook Corpus for Representing the Variety of aesculapian 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 caboodle capaciousr diversity of document types are used in differentiable settings. It has been showed that Natural Language Processing ( human language technology) tools outhouse butt on very different behavior on different types of texts. Without collapse advised knowledge about the derivative instrument death penalty of NLP tools on a variety of medical checkup text t ypes, it entrust be difficult to obtain the character of their coating to different medical documents. We endeavored to provide a stinkpot for much(prenominal) advised assessment: the wind of a large head teacher of medical text samples. We propose a framework for invention such a corpus: a set of descriptive dimensions and a standardized encoding of both meta- data (implementing these dimensions) and content.

We present a evidence of concept demonstration by encoding an initial corpus of text samples according to these principles. Keywords: Natural language processing, documents, French. text corpus, me dical hope to another type [2]1. This ha! s consequences for the design 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 hither a basis for such informed assessment: the construction of a large corpus of medical text samples. We address...If you unavoidableness to get a full essay, order it on our website:
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