IEEE

Optimized Reinforcement Learning Model via Contrastive Learning for Intention Classification of Chinese Questions on Respiratory Diseases

Abstract: The intent classification of Chinese questions on respiratory diseases (IC-CQRD) can not only promote the development of smart medical care, but also strengthen epidemic surveillance. To ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...