English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Event detection has long been troubled by the \emph{trigger curse}:overfitting the trigger will harm the generalization ability while underfittingit will hurt the detection performance. This problem is even more severe infew-shot scenario. In this paper, we identify and solve the trigger curseproblem in few-shot event detection (FSED) from a causal view. By formulatingFSED with a structural causal model (SCM), we found that the trigger is aconfounder of the context and the result, which makes previous FSED methodsmuch easier to overfit triggers. To resolve this problem, we propose tointervene on the context via backdoor adjustment during training. Experimentsshow that our method significantly improves the FSED on ACE05, MAVEN and KBP17datasets.

Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention