Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models
Table 4: Category wise performance of the model
['[BOLD] Trigger Category', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1-Score']
It can be observed that model’s performance in anatomical and molecular categories are better than general and planned categories. that positive regulation, negative regulation and regulation among general category and planned category triggers are causing many false positives and false negatives thus degrading the model’s performance.