Marc Bertin

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In this paper we present a large-scale approach for the extraction of verbs in reference contexts. We analyze citation contexts in relation with the IMRaD structure of scientific articles and use rank correlation analysis to characterize the distances between the section types. The results show strong differences in the verb frequencies around citations(More)
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(More)
Scientific evaluation is based for the most part on citation analysis. However, citation is a phenomenon that is not yet well studied. The use of the Contextual Exploration technique that allows the automatic semantic annotation of the relations between authors, gives some of the answers. New bibliosemantic indicators can be considered in order to provide a(More)
The latest advances in research in the field of bibliometrics take into consideration in-text references. The purpose of this paper is to focus on citation contexts that express negational citations and which are relatively rare in articles. Our goal is to automate the extraction of negational citation contexts and to put them in relation to positions in(More)
In this paper, we analyze citation contexts and characterize the different sections of scientific articles in terms of the verbs that appear in citation contexts. We have performed Factorial Correspondence Analysis (CA) using the four sections of the IMRaD (Introduction, Methods, Results and Discussion) structure as categories. Our dataset contains about(More)
Introduction The open access movement in scientific publishing and search engines like Google Scholar has made scientific articles more broadly accessible. During the last decade, the availability of scientific papers in full text has become more and more widespread thanks to the growing number of publications on online platforms such as ArXiv and CiteSeer(More)