NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning
This paper proposes NE-R1, a novel framework for adaptive retrieval-augmented NER, which achieves state-of-the-art performance on various benchmarks, with an average F1 score gain of 2.52% in in-domain evaluation and 1.18% in zero-shot cross-domain evaluation.
Mei-Xuan Chen, He-Han Li, Rui-Zhi Zhao et al.
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