HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold. (arXiv:2210.08806v2 [cs.CL] UPDATED)

Conventional event detection models under supervised learning settings suffer
from the inability of transfer to newly-emerged event types owing to lack of
sufficient annotations. A commonly-adapted solution is to follow a
identify-then-classify manner, which first identifies the triggers and then
converts the classification task via a few-shot learning paradigm. However,
these methods still fall far short of expectations due to: (i) insufficient
learning of discriminative representations in low-resource scenarios, and (ii)
trigger misidentification caused by the overlap of the learned …

arxiv detection event hcl hybrid threshold