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@@ -250,7 +250,7 @@ def extract_keyphrases(example, predictions, tokenizer, index=0):
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  return np.unique([kp.strip() for kp in extracted_kps])
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  ```
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- ## 📝 Evaluation results
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  Traditional evaluation methods are the precision, recall and F1-score @k,m where k is the number that stands for the first k predicted keyphrases and m for the average amount of predicted keyphrases.
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  The model achieves the following results on the Inspec test set:
 
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  return np.unique([kp.strip() for kp in extracted_kps])
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  ```
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+ ## 📝 Evaluation Results
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  Traditional evaluation methods are the precision, recall and F1-score @k,m where k is the number that stands for the first k predicted keyphrases and m for the average amount of predicted keyphrases.
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  The model achieves the following results on the Inspec test set: