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Article . 2023
License: CC BY
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Conference object . 2023
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Article . 2023
License: CC BY
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http://dx.doi.org/10.5281/zeno...
Conference object . 2023
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Probabilistic Modeling of Chronological Dates to Serve Machines and Scholars

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2023 English Publisher:ZenodoJournal:Scholger, Walter et al. (Hg.): Digital Humanities 2023. Collaboration as Opportunity (DH2023)Funded by:EC | DiDip
Authors: Habring, Andreas; Nicolaou, Anguelos; Luger, Daniel; Atzenhofer-Baumgartner, Florian; Lamminger, Florian; Decker, Franziska; Aoun, Sandy; +3 Authors

doi: 10.5281/zenodo.8107942 , 10.5281/zenodo.8107941

Probabilistic Modeling of Chronological Dates to Serve Machines and Scholars

Abstract

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.

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Keywords

Paper, Library & information science, Book and print history, Statistics, Computer science, Short Presentation, statistics, Machine learning, FOS: Mathematics, Dating, Diplomatics, Library & information science, artificial intelligence and machine learning, data modeling

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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