Few Shot Relation Classification

Few-Shot Relation Classification is a task that involves classifying relationships with limited labeled data, requiring the model to categorize new query instances based on only a few support instances (such as 1 or 5) during testing. This task aims to enhance the model's generalization capability in data-scarce scenarios, which holds significant application value, especially in resource-constrained domains.