instruction:
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
question:
But we also showed that in some cases the saliency maps seem to not capture the important input features. The second observation we can make is that the saliency map doesn't seem to highlight the right things in the input for the summary it generates
answer:
Is the explanation from saliency map correct?

question:
According the distribution of the sentiment score, the sentiment on Tesla is slightly skewed towards positive during the testing period.
answer:
Do the authors give any examples of major events which draw the public's attention and the impact they have on stock price?

question:
Specifically, we design three tasks for seq2seq model pre-training, namely Sentence Reordering (SR), Next Sentence Generation (NSG), and Masked Document Generation (MDG).
answer:
What is masked document generation?