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We are trying to validate the performance of NeuroNer on the 2014 I2B2 test dataset. However, we are unable to achieve the 97.7 F1-score as reported in Table 1 of the paper (https://www.aclweb.org/anthology/D17-2017.pdf). We are currently getting an F-score closer to 94% (precision at 97% and recall at 90%).
This is after exactly following instructions on the GitHub repository (using the pre-trained model) and computing precision, recall and F-score on a PHI vs non-PHI basis and excluding non-HIPAA identifiers (we had to manually remove DATE identifiers).
Am I missing something?
The text was updated successfully, but these errors were encountered:
Thank you for the amazing tool!
We are trying to validate the performance of NeuroNer on the 2014 I2B2 test dataset. However, we are unable to achieve the 97.7 F1-score as reported in Table 1 of the paper (https://www.aclweb.org/anthology/D17-2017.pdf). We are currently getting an F-score closer to 94% (precision at 97% and recall at 90%).
This is after exactly following instructions on the GitHub repository (using the pre-trained model) and computing precision, recall and F-score on a PHI vs non-PHI basis and excluding non-HIPAA identifiers (we had to manually remove DATE identifiers).
Am I missing something?
The text was updated successfully, but these errors were encountered: