I tested medacy_model_clinical_notes on clinical reports, and noticed that it produces some false positives when tagging on subword level.
For instance,
model.predict("Triggering abnormal complications")
results in
{'entities': {'T1': ('Drug', 11, 13, 'ab')}, 'relations': []}
How can subword-level tagging be prevented when using a medacy model?
I tested medacy_model_clinical_notes on clinical reports, and noticed that it produces some false positives when tagging on subword level.
For instance,
model.predict("Triggering abnormal complications")results in
{'entities': {'T1': ('Drug', 11, 13, 'ab')}, 'relations': []}How can subword-level tagging be prevented when using a medacy model?