Hiba Chanaa

Focal-Loss Transformer with Feedback-Validation Learning for Imbalanced Drug Interaction Extraction

Drug-drug interactions (DDIs) are a leading cause of preventable adverse drug events, and the standard benchmark corpus for extracting them from biomedical text is severely im-balanced towards non-interacting pairs, making rare interaction types hard to learn. We asked whether combining focal loss, entity-aware transfo...