From the results, we observe that integrating few-shot learning methods into CNN significantly outperforms CNN/PCNN with finetune or kNN, which means adapting fewshot learning methods for RC is promising.
there are still huge gaps between their performance and humans', which means our dataset is a challenging testbed for both relation classification and few-shot learning.