umcu / negation-detection

Negation detection in Dutch clinical text.
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Fix small issues; make biLSTM reproducable #20

Closed sandertan closed 2 years ago

sandertan commented 2 years ago

Interestingly, F1 score of identified negations dropped from 0.89 to 0.86. Also many examples in 03_test_examples.ipynb now show mistakes in negation detection. So this is not good for demo-ing...

When new version of MedCAT's biLSTM code will be released, I'll update this again, and then we can see if we want to tune the hyperparameters to optimize it for our task.