Before revision: Event Detection, a fundamental task of Information Extraction, tends to struggle when it needs to recognize novel event types with a few samples , i. e. Few-Shot Event Detection (FSED). Previous identify-then-classify paradigm attempts to solve this problem in the pipeline manner but ignores the trigger discrepancy between event types, thus suffering from the error propagation.
After revision: Event Detection, a fundamental task of Information Extraction, tends to struggle when it needs to recognize novel event types with a few samples . The previous work attempts to solve this problem in the pipeline manner but ignores the trigger discrepancy between event types, thus suffering from the error propagation.