TASK DEFINITION: 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.
PROBLEM: In this work, we use pretraining on the unlabeled data of each task and show that it can increase the performance of classification systems.
Question: Where is MVCNN pertained?

SOLUTION: on the unlabeled data of each task

PROBLEM: 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?

SOLUTION: Trinomials are likely to appear in exactly one order

PROBLEM: We find that communities that are characterized by specialized, constantly-updating content have higher user retention rates, but also exhibit larger linguistic gaps that separate newcomers from established members. More closely examining factors that could contribute to this linguistic gap, we find that especially within distinctive communities, established users have an increased propensity to engage with the community's specialized content, compared to newcomers (Section SECREF5 ).
Question: What patterns do they observe about how user engagement varies with the characteristics of a community?

SOLUTION:
communities that are characterized by specialized, constantly-updating content have higher user retention rates, but also exhibit larger linguistic gaps that separate newcomers from established members within distinctive communities, established users have an increased propensity to engage with the community's specialized content, compared to newcomers