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: The baseline classifier uses a linear Support Vector Machine BIBREF7 , which is suited for a high number of features. 

A: What baseline is used?
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Q: Attention-base translation model We use the system of BIBREF6 , a convolutional sequence to sequence model.

A: Which translation system do they use to translate to English?
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Q: All data were downloaded from Twitter in two separate batches using the “twint" scraping tool BIBREF5 to sample historical tweets for several different search terms; queries always included either “climate change" or “global warming", and further included disaster-specific search terms (e.g., “bomb cyclone," “blizzard," “snowstorm," etc.). 

A:
Do they report results only on English data?
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