Automatic BioNER Data Annotation with Large Language Models
The creation of datasets to train SOTA models for BioNER is a painfully slow and expensive process. This paper addresses key limitations of expensive, slowly-produced human-annotated datasets by introducing a novel approach that uses GPT to cheaply and automatically annotate BioNER training sets.