MetricPrompt: A Few-Shot Text Classification Method Based on Relevance Metrics
Introduction to the Paper Despite the increasing applications of prompt learning methods in various few-shot natural language processing tasks, designing templates and label mappings in prompt learning is quite challenging, requiring a deep understanding of the model and classification tasks, along with extensive trial and error. Existing methods for automating label mapping design, while saving … Read more