A metric learning approach selects few-shot fine-tuning samples that improve cross-target and cross-domain stance detection over random selection across six models.
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MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection
A metric learning approach selects few-shot fine-tuning samples that improve cross-target and cross-domain stance detection over random selection across six models.