prevent subword annotations using existing medacy models

[eniale88]

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?