Efficient Few-shot Named Entity Recognition with Hybrid Multi-stage Decoding and Entity-aware Contrastive Learning

A hybrid multi-stage decoding approach for few-shot named entity recognition that first detects entity spans efficiently and then employs entity-aware contrastive learning and KNN to improve entity classification performance.