Adapter Based on Pre-Trained Language Models for Classification of Medical Text  

作　　者：Quan Li 

机构地区：[1]University of Science and Technology of China,Hefei 230026,Anhui Province,China

出　　处：《Journal of Electronic Research and Application》2024年第3期129-134,共6页电子研究与应用

摘　　要：We present an approach to classify medical text at a sentence level automatically.Given the inherent complexity of medical text classification,we employ adapters based on pre-trained language models to extract information from medical text,facilitating more accurate classification while minimizing the number of trainable parameters.Extensive experiments conducted on various datasets demonstrate the effectiveness of our approach.

关 键 词：Classification of medical text ADAPTER Pre-trained language model 

分 类 号：H31[语言文字—英语]