Abstract: In recent years, prompt learning methods have attracted more attention from researchers for exploiting the pre-trained language models. To optimize the performance of prompt learning, researchers explored the template engineering and the answer engineering which are both based on knowledge. In this paper, the researches on prompt learning combined with knowledge are reviewed systematically, with a focus on the prompt learning methods in knowledge extraction. We also reveal the constraints in these method and discuss the possible future developments.