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turmbuecher-ner-v1
dh-unibe/turmbuecher-ner-v1
turmbuecher-ner-v1 is a token classification model from dh-unibe. Use it when you need labels on individual words, such as names. It is set up for flair. The card lists the license as mit.
A model for historical German developed by Ismail Prada Ziegler as part of a research project at the University of Bern, Digital Humanities.
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At a glance
- Task
- Token Classification
- Library
- flair
- License
- mit
- Access
- Public
- Created
- Oct 3, 2022
- Updated
- Oct 3, 2022
- SHA
- df30f029
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Model card
From the Hugging Face model README
Turmbücher NER
A model for historical German developed by Ismail Prada Ziegler as part of a research project at the University of Bern, Digital Humanities.
Performance
| PER | ORG | LOC | Micro-Avg | |
|---|---|---|---|---|
| Precision | 82.46% | 28.81% | 88.51% | 81.21% |
| Recall | 88.51% | 44.74% | 83.02% | 83.99% |
| F1-Score | 85.38% | 35.05% | 85.67% | 82.57% |
Note: ORG-tags were too inconsistent in the training data and performed poorly.
We discovered in first experiments that the model also performs reasonably well on automatically transcribed text (CER of around 5%).
Data Set
Main data set: Berner Turmbücher, early volumes from 16th C., Early New High German, 61k tokens training data.
Secondary data sets:
- SSRQ - Fribourg, language model + tagging, 59k tokens.
- Chorgerichtsmanuale (unpublished), language model + tagging, 76k tokens.
- Königsfelden Charters, language model, 623k tokens.
- Talgerichtsprotokolle (unpublished), language model, 438k tokens.
Notice
This project is still in progress.
- Task
- Token Classification
- Library
- flair
- License
- mit
- Languages
- de
- Created
- Oct 3, 2022
- Updated
- Oct 3, 2022