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@@ -32,6 +32,27 @@ Pretrained NER tagging model for ancient Greek
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  | Xenophon | 1.190 | 796 | 857 |
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  # Usage
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  ```python
 
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  | Xenophon | 1.190 | 796 | 857 |
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+ Results
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+ | Class | Metric | Test | Validation |
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+ |---------|-----------|--------|--------|
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+ | **LOC** | precision | 82.92% | 87.10% |
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+ | | recall | 81.30% | 87.10% |
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+ | | f1 | 82.11% | 87.10% |
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+ | **MISC** | precision | 80.43% | 0 |
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+ | | recall | 70.04% | 0 |
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+ | | f1 | 74.87% | 0 |
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+ | **NORP** | precision | 87.10% | 92.82% |
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+ | | recall | 90.81% | 93.42% |
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+ | | f1 | 88.92% | 93.12% |
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+ | **PER** | precision | 92.61% | 95.52% |
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+ | | recall | 92.94% | 95.21% |
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+ | | f1 | 92.77% | 95.37% |
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+ | **Overall** | precision | 16183 | 92.63% |
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+ | | recall | 88.92% | 92.79% |
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+ | | f1 | 88.82% | 92.71% |
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+ | | Accuracy | 88.87% | 98.42% |
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  # Usage
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  ```python