Q: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Table 2 lists the accuracies of the all methods on two classifier architectures. The results show that, for various datasets on different classifier architectures, our conditional BERT contextual augmentation improves the model performances most. BERT can also augments sentences to some extent, but not as much as conditional BERT does.
Question: Do the authors report performance of conditional bert on tasks without data augmentation?
A:
Yes