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flair-historic-ner-onb
dbmdz/flair-historic-ner-onb
flair-historic-ner-onb is a token classification model from dbmdz. 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.
Based on our paper we release a new model trained on the ONB dataset.
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444 MB
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At a glance
- Task
- Token Classification
- Library
- flair
- License
- mit
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 26, 2021
- SHA
- 99c1e712
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Model card
From the Hugging Face model README
Towards Robust Named Entity Recognition for Historic German
Based on our paper we release a new model trained on the ONB dataset.
Note: We use BPEmbeddings instead of the combination of Wikipedia, Common Crawl and character embeddings (as used in the paper), so save space and training/inferencing time.
Results
| Dataset \ Run | Run 1 | Run 2 | Run 3 | Avg. |
|---|---|---|---|---|
| Development | 86.69 | 86.13 | 87.18 | 86.67 |
| Test | 85.27 | 86.05 | 85.75† | 85.69 |
Paper reported an averaged F1-score of 85.31.
† denotes that this model is selected for upload.
- Task
- Token Classification
- Library
- flair
- License
- mit
- Languages
- de
- Created
- Mar 2, 2022
- Updated
- Feb 26, 2021