Sihan Song

RoPDA: Robust Prompt-Based Data Augmentation for Low-Resource Named Entity Recognition

Data augmentation has been widely used in low-resource NER tasks to tackle the problem of data sparsity. However, previous data augmentation methods have the disadvantages of disrupted syntactic structures, token-label mismatch, and requirement for external knowledge or manual effort. To address the…