Published December 12, 2024
| Version v1
Conference paper
Open
Named Entity Recognition for digitised archival documents in German
Authors/Creators
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1.
FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
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2.
Karlsruhe Institute of Technology
Description
This paper presents an experiment that evaluates the effectiveness of two different Named Entity Recognition
(NER) tools at extracting entities directly from the output of an Optical Character Recognition (OCR) workflow.
The authors initially developed a test dataset comprising both raw and corrected OCR outputs, which were
manually annotated with tags for Person, Location, and Organisation. Subsequently, they applied each NER tool
to both the raw and corrected OCR outputs, evaluating their performance by comparing the precision, recall, and
F1 scores against the manually annotated data.