TASK DEFINITION: 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.
PROBLEM: They annotated 7.8K verbs, reporting an average of 2.4 QA pairs per predicate. Even though multiple annotators were shown to produce greater coverage, their released dataset was produced using only a single annotator per verb.

SOLUTION: How was coverage measured?

PROBLEM: Then, it selects a subset of a 1,700-hour ( INLINEFORM2 1.1M instances) unlabeled dataset.

SOLUTION: How much data samples do they start with before obtaining the initial model labels?

PROBLEM: GPT-2 achieves the highest score and the $n$-gram the lowest.

SOLUTION:
Which of the model yields the best performance?