Knowledge Guided Metric Learning for Few-Shot Text Classification
Table 2: Ablation and replacement studies of our model on ARSC dataset
['Model', 'Mean Acc']
Ablation means that we delete the task-relevant relation network and the model is reduced to the original relation network. We observe that ablation degrades performance. In order to exclude the factor of reduction in the number of parameters, we conduct a replacement experiment. Replacement means that we replace the task-relevant relation network with a task-agnostic relation network. We find out that increasing the number of parameters can slightly improve performance, but there is still a big gap between our model.