Before revision:  In this paper, we place a challenging restriction to conventional few-shot relation classification by additionally limiting the amount of training data . We also propose a few-shot learning framework for relation classification, which is particularly powerful when the training data is very small.
After revision:  In this paper, we place a challenging restriction to conventional few-shot relation classification by additionally limiting the amount of data available at training time. We propose a few-shot learning framework for relation classification, which is particularly powerful when the training data is very small.