Published September 13, 2020
| Version v1
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BERT-DE-NER
Description
BERT-DE-NER
This is a German BERT model fine-tuned for named entity recognition.
Base model & training
This model is based on bert-base-german-dbmdz-cased and has been fine-tuned for NER on the training data from [GermEval2014](https://sites.google.com/site/germeval2014ner).
Model results
The results on the test data from GermEval2014 are (entities only):
| Precision | Recall | F1-Score |
|----------:|-------:|---------:|
| 0.817 | 0.842 | 0.829 |
How to use
>>> from transformers import pipeline
>>> classifier = pipeline('ner', model="fhswf/bert_de_ner")
>>> classifier('Von der Organisation "medico international" hieß es, die EU entziehe sich seit vielen Jahren der Verantwortung für die Menschen an ihren Außengrenzen.')
[{'word': 'med', 'score': 0.9996621608734131, 'entity': 'B-ORG', 'index': 6},
{'word': '##ico', 'score': 0.9995362162590027, 'entity': 'I-ORG', 'index': 7},
{'word': 'international',
'score': 0.9996932744979858,
'entity': 'I-ORG',
'index': 8},
{'word': 'eu', 'score': 0.9997008442878723, 'entity': 'B-ORG', 'index': 14}]