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dhd2026

This is a repository containing the data and code for our poster "Kombinieren statt neu trainieren. Zur automatisierten Erkennung diegetischen räumlichen Vokabulars mit Hilfe existierender Annotationen und Classifier" addre

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CreatorKellner, Nils
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Published2026-03-03
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DOI10.5281/zenodo.18847730
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Downloads43
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Licensecc-by-4.0
File Size2.0 MB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views128
Total Downloads43

This is a repository containing the data and code for our poster “Kombinieren statt neu trainieren. Zur automatisierten Erkennung diegetischen räumlichen Vokabulars mit Hilfe existierender Annotationen und Classifier” addressing the recognition of diegetic spatial vocabulary presented at DHd2026 in Vienna.

 

DFG Priority Program SPP 2207 “Computational Literary Studies“
Online:

  1. https://gepris.dfg.de/gepris/projekt/402743989
  2. https://dfg-spp-cls.github.io/

Subproject: “Computational Approaches to Narrative Space in 19th and 20th Century Novels” (CANSpiN)
Online:

  1. https://gepris.dfg.de/gepris/projekt/508056813
  2. https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Computational_Approaches_to_Narrative_Space
  3. https://www.canspin.uni-rostock.de

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dhd2026 (Full Dataset)2.0 MB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Kellner, Nils (2026). dhd2026. https://doi.org/10.5281/zenodo.18847730