ADELL improves few-shot NER by combining dual similarity (semantic plus learned feature Jaccard) for demonstration selection with adversarial demonstration training that forces the tagger to attend to demonstrations.
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
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Adversarial Demonstration Learning for Low-resource NER Using Dual Similarity
ADELL improves few-shot NER by combining dual similarity (semantic plus learned feature Jaccard) for demonstration selection with adversarial demonstration training that forces the tagger to attend to demonstrations.