- Exploring an Effective Approach to Acquire Meta-Knowledge for Low-Resource Few-Shot Relation Extraction 2025-10-20 ABSTRACTFew-shot relation extraction has attracted significant attention due to its potential to identify new relations when training samples are scarce. Previous studies demonstrate that meta-learning techniques can significantly enhance models' adaptability in few-shot scenarios. Most existing meta-learning methods generalize to unseen relations by constructing effective prototype representations ...
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