Automatic annotation in text for bibliometrics use

Abstract : The identification of the scientific production and the evaluation of the researchers is a problem we are facing at present times. Bibliometric methods use mainly statistical tools and their results are of quantitative nature. Consequently, this approach does not provide any tools of qualitative evaluation. It is for this reason we suggest to examine the specific details of the bibliographic references in the texts. This linguistic approach, which uses the contextual exploration method, allows us to annotate automatically the text and thus to propose a new way to address this problem. The computer application of this study will be integrated into the platform EXCOM (EXploration COntexuel Multilingue).
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Contributor : Marc Bertin <>
Submitted on : Monday, October 1, 2018 - 4:23:11 PM
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  • HAL Id : hal-01885175, version 1


Marc Bertin, Jean-Pierre Desclés, Brahim Djioua, Yordan Krushkov. Automatic annotation in text for bibliometrics use. The Nineteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006), May 2006, Melbourne Beach, Florida, United States. ⟨hal-01885175⟩



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