Improving few-shot named entity recognition via Semantics induced Optimal Transport

Diange Zhou, Shengwen Li, Qizhi Chen, Hong Yao

Abstract: Highlights•This paper highlights the contribution of the semantic distribution distance constraints on general knowledge transfer.•The proposed approach is a common framework without adding extra learning parameters.•Extensive experiments show the approach significantly improves the performance of the baseline models.