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CorTag: A Language for a Contextual Tagging of the Words Within Their Sentence

CorTag: A Language for a Contextual Tagging of the Words Within Their Sentence

Yves Kodratoff, Jérôme Azé, Lise Fontaine
Copyright: © 2009 |Pages: 13
ISBN13: 9781605662749|ISBN10: 1605662747|ISBN13 Softcover: 9781616925284|EISBN13: 9781605662756
DOI: 10.4018/978-1-60566-274-9.ch010
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MLA

Kodratoff, Yves, et al. "CorTag: A Language for a Contextual Tagging of the Words Within Their Sentence." Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration, edited by Violaine Prince and Mathieu Roche, IGI Global, 2009, pp. 177-189. https://doi.org/10.4018/978-1-60566-274-9.ch010

APA

Kodratoff, Y., Azé, J., & Fontaine, L. (2009). CorTag: A Language for a Contextual Tagging of the Words Within Their Sentence. In V. Prince & M. Roche (Eds.), Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration (pp. 177-189). IGI Global. https://doi.org/10.4018/978-1-60566-274-9.ch010

Chicago

Kodratoff, Yves, Jérôme Azé, and Lise Fontaine. "CorTag: A Language for a Contextual Tagging of the Words Within Their Sentence." In Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration, edited by Violaine Prince and Mathieu Roche, 177-189. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-274-9.ch010

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Abstract

This chapter argues that in order to extract significant knowledge from masses of technical texts, it is necessary to provide the field specialists with programming tools with which they themselves may use to program their text analysis tools. These programming tools, besides helping the programming effort of the field specialists, must also help them to gather the field knowledge necessary for defining and retrieving what they define as significant knowledge. This necessary field knowledge must be included in a well-structured and easy to use part of the programming tool. In this chapter, we present CorTag, a programming tool which is designed to correct existing tags in a text and to assist the field specialist to retrieve the knowledge and/or information he or she is looking for.

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