H-COAL：用于生物医学命名实体识别的AI生成标签的人工校正

Nov, 2023

H-COAL: Human Correction of AI-Generated Labels for Biomedical Named Entity Recognition

Xiaojing Duan, John P. Lalor

TL;DR通过对AI生成的标签进行选择性校正，可以减少人力成本，并达到与完全人工标注相媲美的性能表现。研究结果显示，校正5%的标签可以使AI和人工表现的差距相对改善64%；校正20%的标签可以相对改善86%。

Abstract

With the rapid advancement of machine learning models for nlp tasks, collecting high-fidelity labels from ai models is a realistic possibi