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Communication Dans Un Congrès Année : 2015

Characterizing In-text Citations using N-gram Distributions

Résumé

This article focuses on a Natural Language Processing (NLP) approach for the analysis of citation functions in scientific papers. Bibliometric studies traditionally rely on citation metadata and count the number of times a publication has been cited.
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Dates et versions

hal-01953961 , version 1 (20-12-2018)

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  • HAL Id : hal-01953961 , version 1

Citer

Marc Bertin, Iana Atanassova. Characterizing In-text Citations using N-gram Distributions. 15th International Society of Scientometrics and Informetrics Conference, The International Society for Informetrics and Scientometrics (ISSI), Jun 2015, Istanbul, Turkey. ⟨hal-01953961⟩

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