BriefGPT.xyz
Nov, 2022
自动提取医疗对话中的信息：专家系统和注意力标注
Automatically Extracting Information in Medical Dialogue: Expert System And Attention for Labelling
HTML
PDF
Xinshi Wang, Daniel Tang
TL;DR
本文提出了一种基于专家系统和注意力的模型（ESAL），使用混合专家和预训练BERT来识别不同类别的医学对话中的语义，能够融合它们之间的差异，并将其应用于公共数据集的实验结果表明，ESAL显著改善了医学信息分类的性能。
Abstract
medical dialogue
information extraction
is becoming an increasingly significant problem in modern medical care. It is difficult to extract key information from electronic medical records (EMRs) due to their large
→