Hodel, Tobias; Prada Ziegler, Ismail; Schneider, Christa (2023). Pre-Modern Data: Applying Language Modeling and Named Entity Recognition on Criminal Records in the City of Bern. In: Digital Humanities 2023. Collaboration as Opportunity (DH2023). Graz. 13.07.2023. 10.5281/zenodo.8107616
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HODEL_Tobias_Pre_Modern_Data__Applying_Language_Modeling_and.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (40kB) | Preview |
How can NLP technologies be applied and measured on pre-modern documents? Based on a large handwritten dataset from the tower of Bern, we tested available language models and taggers, showcasing that specific forms of representation and identification need to be found. Relying on cooperation to further improve information retrieval.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
06 Faculty of Humanities > Other Institutions > Walter Benjamin Kolleg (WBKolleg) > Digital Humanities 06 Faculty of Humanities > Other Institutions > Walter Benjamin Kolleg (WBKolleg) |
UniBE Contributor: |
Hodel, Tobias Mathias, Prada Ziegler, Ismail Muhammad, Schneider, Christa |
Subjects: |
100 Philosophy 800 Literature, rhetoric & criticism 900 History |
Language: |
German |
Submitter: |
Tobias Mathias Hodel |
Date Deposited: |
07 Jul 2023 08:44 |
Last Modified: |
26 Jul 2023 08:57 |
Publisher DOI: |
10.5281/zenodo.8107616 |
Uncontrolled Keywords: |
Named Entity Recognition, Language Modeling, Pre-Modern German |
BORIS DOI: |
10.48350/184547 |
URI: |
https://boris.unibe.ch/id/eprint/184547 |
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