Low-Resource Learning

DICE: Data-Efficient Clinical Event Extraction with Generative Models

We introduce DICE, a robust and data-efficient generative model for clinical event extraction, which specializes in clinical mention identification, and MACCROBAT-EE, the first clinical event extraction dataset with event argument annotation.

Mingyu Derek Ma, Alexander K. Taylor, Wei Wang, Nanyun Peng