Biomedical Event Extraction

Biomedical event extraction (BEE) aims to automatically identify and categorize events, such as drug interactions or adverse reactions, described in biomedical text. Recent research emphasizes developing more sophisticated models, moving beyond traditional classification approaches to incorporate generative models and multi-layer sequence labeling techniques that better handle complex event structures like nested or overlapping events. This field is crucial for accelerating drug safety research, improving clinical decision-making, and enabling large-scale analysis of biomedical literature, with new datasets like PHEE driving progress by providing more comprehensive and nuanced training data.