Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes
We explore few-shot learning (FSL) for relation classification (RC).Focusing on the realistic scenario of FSL, in which a test instance might not belong to any of the target categories (none-of-the-above, [NOTA]), we first revisit the recent popular dataset structure for FSL, pointing out its unrealistic data ngetikin distribution.To remedy this, w