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.

[EX Q]: We design the word-level refine decoder because this process is similar to the cloze task in BERT's pre-train process, therefore by using the ability of the contextual language model the decoder can generate more fluent and natural sequences.
[EX A]: Why masking words in the decoder is helpful?

[EX Q]: Most of the results seem to match with the views of some experts such as the political pundits of the Washington Post.
[EX A]: Who are the experts?

[EX Q]: We download 210 users' all twitter posts who are war veterans and clinically diagnosed with PTSD sufferers as well which resulted a total 12,385 tweets. 
[EX A]:
How many twitter users are surveyed using the clinically validated survey?