Untangling hagiographic entanglements: from Textual Annotation, Named Entity Recognition to Database

This poster presentation aims to show the adopted pipeline regarding entity recognition in medieval texts, from the digital annotation to the creation of a language model for medieval latin and, more specifically, hagiographic documents.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-20
DOI
https://doi.org/10.5281/zenodo.19661679
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
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article

Untangling hagiographic entanglements: from Textual Annotation, Named Entity Recognition to Database

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Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
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Untangling hagiographic entanglements: from Textual Annotation, Named Entity Recognition to Database

Steven Vanderputten, Anne Breitbarth, Julie M. Birkholz, Bas Vercruysse, Fiammetta Comelli, Heike Bekaert
article en

Abstract

This poster presentation aims to show the adopted pipeline regarding entity recognition in medieval texts, from the digital annotation to the creation of a language model for medieval latin and, more specifically, hagiographic documents.

Zenodo (CERN European Organization for Nuclear Research)
Ghent University Hospital (BE)
Quality Education
Openalex Percentile: Top 9%
Topic Modeling
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