Few-shot learning in natural language processing has been explored for classification tasks, including text classification Geng et al., 2019;Yu et al., 2018), entity relation classification Gao et al., 2019;Ye and Ling, 2019), and dialog act prediction (Vlasov et al., 2018).
fewshot learning for slot tagging is less investigated.