From: Combining data augmentation and domain information with TENER model for Clinical Event Detection
Model | Precision | Recall | F1-score |
---|---|---|---|
Ours | 81.01 | 0.7953 | 0.8026 |
BioBERT \(\rightarrow\) Glove 100d | 74.84 | 0.5272 | 0.6186 |
-data augmentation | 74.54 | 0.7805 | 0.7626 |
TENER \(\rightarrow\) CNN | 80.96 | 0.7944 | 0.8019 |
TENER \(\rightarrow\) BiLSTM | 79.95 | 0.7944 | 0.7970 |