Historical Newspaper Content Mining: Revisiting the impresso Project's Challenges in Text and Image Processing, Design and Historical Scholarship

Ehrmann, MaudBunout, EstelleClematide, SimonDüring, MartenFickers, AndreasGuido, DanieleKalyakin, RomanKaplan, FrédéricRomanello, MatteoSchroeder, PaulStröbel, PhilippBeek, Thijs VanVolk, MartinWieneke, Lars2021-03-272021-03-272021-03-27202010.5281/zenodo.4641894https://infoscience.epfl.ch/handle/20.500.14299/176914Long abstract for a presentation at DH2020 (online).historical and multilingual language resourceshistorical textsmulti-layered historical semantic annotationsOCRnamedentity processingtopic modelingtext reusedigital humanitiesHistorical Newspaper Content Mining: Revisiting the impresso Project's Challenges in Text and Image Processing, Design and Historical Scholarshiptext::conference output::conference proceedings::conference paper