Published June 30, 2023
| Version v1
Poster
Open
Modeling Prototypicality and Uncertainty in Genre Concepts
Contributors
Data managers:
Hosting institution:
- 1. University of Graz
- 2. Belgrade Center for Digital Humanities
- 3. Le Mans Université
- 4. Digital Humanities im deutschsprachigen Raum
Description
The poster develops and discusses a new technique of modeling prototypicality in genre concepts based on the c@1-score as an uncertainty-based accuracy score and perspectival modeling within the framework of supervised machine learning. The technique is intended to provide better understanding of loosely ordered genres.
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Schroeter_Modeling-Prototypicality-and-Uncertainty-in-Genre-Concepts.pdf
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Additional details
Related works
- Is supplement to
- Conference paper: 10.5281/zenodo.8107640 (DOI)