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README.md
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Pretrained NER tagging model for ancient Greek
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# Usage
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```python
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from flair.data import Sentence
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from flair.models import SequenceTagger
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Pretrained NER tagging model for ancient Greek
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# Scores & Tagset
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<details>
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Training:
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| | Precision | Recall | F1-score | Support|
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|------|:---------:|:--------:|:--------:|:--------:|
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|PER | 0.9124 | 0.9445 | 0.9282 | 2127|
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|MISC | 0.8092 | 0.8317 | 0.8203 | 933|
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|LOC | 0.8686 | 0.7835 | 0.8238 | 388|
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Evaluation
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| | Precision | Recall | F1-score |Support|
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|------|:---------:|:--------:|:--------:|:--------:|
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| PER | 92.00% | 86.79% | 89.32% | 124|
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| MISC | 96.43% | 87.10% | 91.53% | 159|
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| LOC | 80.00% | 84.85% | 82.35% | 66|
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</details>
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- F-score (micro) 0.8878
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- F-score (macro) 0.8574
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- Accuracy 0.8324
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# Usage
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```python
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from flair.data import Sentence
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from flair.models import SequenceTagger
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