Presentation
The Digital Humanities Laboratory was founded by Professor Frédéric Kaplan in 2012. It develops new computational approaches for dealing with large digital cultural objects (large corpora of texts, images and complex documents, high-resolution scanning of artefacts, buildings and entire cities) and a new understanding of digital cultures.
Most Recent Publications
Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers
R. Barman; M. Ehrmann; S. Clematide; S. Ares Oliveira; F. Kaplan
Journal of Data Mining & Digital Humanities. 2021. Vol. 2021, num. Special Issue on HistoInformatics: Computational Approaches to History, p. 1-26. DOI : 10.5281/zenodo.4065271. I sistemi di immagini nell’archivio digitale di Vico Magistretti
F. Kaplan; I. di Lenardo
Narrare con l’Archivio. Forum internazionale, 19 novembre 2020, Milan, Italy, Novembre 19, 2020. Swiss in motion : Analyser et visualiser les rythmes quotidiens. Une première approche à partir du dispositif Time-Machine.
Y. Dubois; N. Hamel; G. Drevon; P. Rérat; V. Kaufmann et al.
Swiss Mobility Conference, Lausanne, October 29-30, 2020. Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers
M. Ehrmann; M. Romanello; A. Flückiger; S. Clematide
2020-10-21. 11th Conference and Labs of the Evaluation Forum (CLEF 2020), [Online event], 22-25 September, 2020. DOI : 10.5281/zenodo.4117566. Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers
M. Ehrmann; M. Romanello; A. Flückiger; S. Clematide
2020-09-15. 11th International Conference of the CLEF Association – CLEF 2020, Thessaloniki, Greece, September 22–25, 2020. p. 288–310. DOI : 10.1007/978-3-030-58219-7_21. The Advent of the 4D Mirror World
F. Kaplan; I. di Lenardo
Urban Planning. 2020-06-30. Vol. 5, num. 2, p. 307. DOI : 10.17645/up.v5i2.3133. Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers
M. Ehrmann; M. Romanello; S. Bircher; S. Clematide
2020-04-08. ECIR 2020 : 42nd European Conference on Information Retrieval, Lisbon, Portugal, April 14-17, 2020. p. 524-532. DOI : 10.1007/978-3-030-45442-5_68.