iterPrompt: An iterative prompt-tuning method for nested relation extraction with dynamic assignment strategy

Chengcheng Mai, Yuxiang Wang, Ziyu Gong, Hanxiang Wang, Kaiwen Luo, Chunfeng Yuan, Yihua Huang

Abstract: Highlights•Nested relation extraction plays a crucial role in real-world applications.•An iterative prompt learning method is proposed to model the nested structure.•A relation identifier assignment method is proposed to solve data sparsity problem.•The proposed method is effective for extracting different kinds of relations.