Event Extraction with Generative Adversarial Imitation Learning
Table 4: Performance on joint event extraction (no ground-truth annotation) comparison with State-of-the-Art framework from Li et al. (2014) on ACE2005.
['Tasks Metric', 'Trigger Identification P', 'Trigger Identification R', 'Trigger Identification F1', 'Trigger Labeling P', 'Trigger Labeling R', 'Trigger Labeling F1', 'Argument Identification P', 'Argument Identification R', 'Argument Identification F1', 'Role Labeling P', 'Role Labeling R', 'Role Labeling F1']
Our framework achieves better results than state-of-the-art, with a significant difference at 95% confidence interval using Z-test.