KG-prompt: Interpretable knowledge graph prompt for pre-trained language models

Liyi Chen, Jie Liu, Yutai Duan, Runze Wang

Abstract: Highlights•A novel interpretable knowledge injection method is proposed.•The knowledge graph is innovatively compressed and encoded as structured prompts.•Without knowledge retraining, the proposed method improves performance of models.