A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection
Table 1: Event detection performance on the CG task 2013 test dataset.
['Model', 'P', 'R', 'F1 (%)']
Our model achieves performance comparable to the state-of-the-art TEES event detection module without the use of any syntactic and hand-engineered features, suggesting it can be applied to other domains with no need for feature engineering. We validated it to have no significant statistical difference with the TEES model (