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.

[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.
Question: Why masking words in the decoder is helpful?
[EX A]: ecause 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 Q]: Which events authors choose to include in their history, which they leave out, and the way the events chosen relate to the march are crucial factors in conveying bias.
Question: What factors contribute to interpretive biases according to this research?
[EX A]: Which events authors choose to include in their history, which they leave out, and the way the events chosen relate to the march

[EX Q]: As a warm-up procedure, the first 100 posts were annotated by two annotators (the author and the supervisor) and the results compared. The remainder of the annotation task was performed by the author, resulting in 3600 annotated samples.
Question: Who were the annotators?
[EX A]:
the author and the supervisor