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.

Input: Consider Input: Trinomials are likely to appear in exactly one order, and when they appear in more than one order the last word is almost always the same across all instances.
Question: Are there any new finding in analasys of trinomials that was not present binomials?

Output: Trinomials are likely to appear in exactly one order

Input: Consider Input: We use Waseem and Hovy BIBREF5, Davidson et al. BIBREF9, and Waseem et al. BIBREF10 as baselines and compare the results with our different fine-tuning strategies using pre-trained BERTbase model.
Question: What baseline is used?

Output: Waseem and Hovy BIBREF5 Davidson et al. BIBREF9 Waseem et al. BIBREF10

Input: Consider Input: We view different varieties of Arabic as different domains, and hence introduce a simple, yet effective, 'in-domain' training measure where we further pre-train BERT on a dataset closer to task domain (in that it involves dialectal tweet data).
Question: What in-domain data is used to continue pre-training?
Output: dialectal tweet data