{segmenteR}

Etienne Rolland

segmenteR is a tool to extract a section, for example, “material and methods”, from the pdf of an article, using the fonts information from the pdf and natural language processing.

Authors: Blanka Halamoda-Kenzaoui, Etienne Rolland, Jacopo Piovesan, Antonio Puertas Gallardo, Susanne Bremer-Hoffmann

References: Toxic effects of nanomaterials for health applications: How automation can support a systematic review of the literature?

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