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.

[Q]: In all our experiments, we used the out-of-the-box BERT models without any task-specific fine-tuning.
[A]: How does their model differ from BERT?


[Q]: Our baseline is a GRU network for each of the three tasks.
[A]: Are the models compared to some baseline models?


[Q]: Fenerbahçe We have decided to consider tweets about popular sports clubs as our domain for stance detection.  Hence we have determined our targets as Galatasaray (namely Target-1) and Fenerbahçe (namely, Target-2) which are two of the most popular football clubs in Turkey.  Then, we have annotated the stance information in the tweets for these targets as Favor or Against. For the purposes of the current study, we have not annotated any tweets with the Neither class.
[A]:
How were the tweets annotated?


