Agent-DA: Enhancing low-resource event extraction with collaborative multi-agent data augmentation

Xuemeng Tian, Yikai Guo, Bin Ge, Xiaoguang Yuan, Hang Zhang, Yuting Yang, Wenjun Ke, Guozheng Li

Abstract: Highlights•Multi-agent collaboration for enhancing event extraction data augmentation.•Reduces label hallucination in data generated by a large language model.•Ranked dataset used for training the adjudicator in sample judgments.