Joint Extraction of Events and Entities within a Document Context
Table 3: Event extraction results on the ACE2005 test set. ∗ indicates that the difference in F1 compared to the second best model (WithinEvent) is statistically significant (p<0.05).
['Model', 'Event Trigger Identification P', 'Event Trigger Identification R', 'Event Trigger Identification F1', 'Event Trigger Classification P', 'Event Trigger Classification R', 'Event Trigger Classification F1', 'Event Argument Identification P', 'Event Argument Identification R', 'Event Argument Identification F1', 'Argument Role Classification P', 'Argument Role Classification R', 'Argument Role Classification F1']
We can see that our WithinEvent model, which explicitly models the trigger-argument dependencies and argument-role-entity-type dependencies, outperforms the MaxEnt pipeline, especially in event argument extraction. This shows that modeling the trigger-argument dependencies is effective in reducing error propagation.