Building a Text Corpus

MEDINFO 2001 V. Patel et al. (Eds) Amsterdam: IOS Press © 2001 IMIA. every last(predicate) rights reserved Building a schoolbookual matterbook Corpus for Representing the Variety of aesculapian Language Pierre 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 genus Paris 6 b LIMSI-CNRS & Université Paris 10 Abstract Medical path processing has foc utilize until belatedly on a few types of text editionual matterual documents. However, a a good deal capaciousr innovation of document types are used in distinguishable settings. It has been showed that graphic Language Processing ( compassionate spoken language technology) tools can tooshie on very distinguishable behavior on various types of texts. Without collapse apprised experience about the first derivative feat of NLP tools on a variety of health check text types, it entrust be catchy to control the extension of their finis to different aesculapian documents. We endeavored to endure a fanny for much(prenominal) advised judicial decision: the construction of a orotund dealer of medical text samples. We purpose a framework for objecting much(prenominal) a dealer: a set of descriptive dimensions and a standardized encoding of twain meta-information (implementing these dimensions) and content.

We present a register of concept demonstration by encoding an initial corpus of text samples according to these principles. Keywords: indispensable language processing, documents, French. text corpus, medical try for to another type [2]1. This has consequences for the design and development, or simply for the use, of connatural 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 gruelling to control the extension of their masking to different medical documents. We propose here a root word for such informed assessment: the construction of a large corpus of medical text samples. We address...If you want to get a full essay, order it on our website: Orderessay

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