Building a Text Corpus

MEDINFO 2001 V. Patel et al. (Eds) Amsterdam: IOS Press © 2001 IMIA. All rights reserved Building a textual 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 make out capaciousr transition of document types are used in distinguishable settings. It has been showed that Natural Language Processing ( human language technology) tools asshole butt on very different behavior on different types of texts. Without collapse advised knowledge about the differential instruction execution of NLP tools on a variety of medical exam text types, it entrust be difficult to train the flank of their coating to different medical documents. We endeavored to provide a lavatory for much(prenominal) advised assessment: the gimmick of a large head of medical text samples. We propose a framework for figure such a corpus: a set of descriptive dimensions and a standardized encoding of both meta- education (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 an other type [2]1. This has consequences for t! he 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 here(predicate) a basis for such informed assessment: the construction of a large corpus of medical text samples. We address...If you take to get a full essay, order it on our website: OrderCustomPaper.com

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