期刊论文

Liu, YB

英文

Information Processing & Management

0306-4573

2023

60

4

103408

10.1016/j.ipm.2023.103408

The State Key Program of National Natural Science of China , Grant/Award Number: 61533018 ; National Natural Science Foundation of China , Grant/Award Number: 61402220 ; The Philosophy and Social Science Foundation of Hunan Province , Grant/Award Number: 16YBA323 ; Natural Science Foundation of Hunan Province, China , Grant/Award Number: 2020JJ4525 , 2022JJ30495 ; Scientific Research Fund of Hunan Provincial Education Department , Grant/Award Number: 18B279 , 19A439 , 22A0316 .

本校为第一且通讯机构

Medical question and answering is a crucial aspect of medical artificial intelligence, as it aims to enhance the efficiency of clinical diagnosis and improve treatment outcomes. Despite the numerous methods available for medical question and answering, they tend to overlook the data generation mechanism's imbalance and the pseudo-correlation caused by the task's text characteristics. This pseudo-correlation is due to the fact that many words in the question and answering task are irrelevant to the answer but carry significant weight. These word...