ADHO Digital Humanities Conference 2023 (DH2023)
Published June 30, 2023 | Version v1
Conference paper Open

Probabilistic Modeling of Chronological Dates to Serve Machines and Scholars

Creators

  • 1. University of Graz, Austria

Contributors

  • 1. University of Graz
  • 2. Belgrade Center for Digital Humanities
  • 3. Le Mans Université
  • 4. Digital Humanities im deutschsprachigen Raum

Description

We present a modeling of document dates such that it can allow scholars to express uncertainty when annotating data, act as a differentiable loss function for training models and allow for unbiased interpretable performance evaluation under uncertainty.

Files

NICOLAOU_Anguelos_Probabilistic_Modeling_of_Chronological_Da.pdf

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Additional details

Related works

Is part of
Book: 10.5281/zenodo.7961822 (DOI)