Consequently, the traditional N-means K-shot few-shot definition is inapplicable for few-shot slot tagging. In this paper, we propose a novel specific-joint and supervised-contrastive learning framework for few-shot intent classification and slot filling. 2020) tasks show that our technique can outperform various few-shot studying baselines, enhance existing advanced methods like TapNet Yoon et al.