DiZiNER improves zero-shot NER by having multiple LLMs annotate texts and using a supervisor to refine instructions from their disagreements, reaching SOTA on 14 of 18 benchmarks with +8 F1 gains.
InLinguistic Annotation Workshop, pages 142–145
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DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition
DiZiNER improves zero-shot NER by having multiple LLMs annotate texts and using a supervisor to refine instructions from their disagreements, reaching SOTA on 14 of 18 benchmarks with +8 F1 gains.