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.

Example Input: Besides the Baseline and Oracle, where only ASR 1-best hypothesis is considered, we also perform experiments to utilize ASR $n$-best hypotheses during evaluation.
Example Output: What are the series of simple models?

Example Input: Before designing this NLP toolkit, we conducted a survey among engineers and identified a spectrum of three typical personas.
Example Output: How do the authors evidence the claim that many engineers find it a big overhead to choose from multiple frameworks, models and optimization techniques?

Example Input: Finally, when investigating the relatedness between European vs. non European languages (cf. (En/Fr)$
ightarrow $Ar), we obtain similar results than those obtained in the monolingual experiment (macro F-score 62.4 vs. 68.0) and best results are achieved by Ar $
ightarrow $(En/Fr). This shows that there are pragmatic devices in common between both sides and, in a similar way, similar text-based patterns in the narrative way of the ironic tweets.
Example Output:
Do the authors identify any cultural differences in irony use?