Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction
Abstract Named Entity Recognition (NER) is a fundamental task in processing biomedical text.Due to the limited availability of labeled data, researchers have investigated few-shot learning methods to tackle this challenge.However, replicating the performance of fully supervised methods remains difficult in few-shot scenarios.This paper addresses tw