Papers by Kristina Luger

1 papers
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts (2023.findings-acl)

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Challenge: Pre-trained named entity recognition models are inaccurate on modern corpora due to differences in language OCR errors.
Approach: They develop a named entity recognition (NER) corpus of 3.6M sentences from medieval charters written mainly in Czech, Latin, and German.
Outcome: The proposed model achieves entity-level Precision of 72.81–93.98% with 58.14–81.77% Recall on a manually-annotated test dataset.

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