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.

[Q]: We took inspiration from these works to design our experiments to solve the CSKS task. 
 Question: What problem do they apply transfer learning to?
[A]: CSKS task


[Q]:  As BIBREF0 discussed, the text-only UMT is fundamentally an ill-posed problem, since there are potentially many ways to associate target with source sentences. Intuitively, since the visual content and language are closely related, the image can play the role of a pivot “language" to bridge the two languages without paralleled corpus, making the problem “more well-defined" by reducing the problem to supervised learning. 
 Question: Why is this work different from text-only UNMT?
[A]: the image can play the role of a pivot “language" to bridge the two languages without paralleled corpus


[Q]: We used the Twitter definition of hateful conduct in the first survey. This definition was presented at the beginning, and again above every tweet. 
 Question: What definition was one of the groups was shown?
[A]:
Twitter definition of hateful conduct