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.

[EX Q]: In this paper, we first highlight the importance of TV and radio broadcast as a source of data for ASR, and the potential impact it can have. We then perform a statistical analysis of gender representation in a data set composed of four state-of-the-art corpora of French broadcast, widely used within the speech community. Finally we question the impact of such a representation on the systems developed on this data, through the perspective of an ASR system.
[EX A]: What tasks did they use to evaluate performance for male and female speakers?

[EX Q]: Participants who were shown the definition were more likely to suggest to ban the tweet. In fact, participants in group one very rarely gave different answers to questions one and two (18 of 500 instances or 3.6%). This suggests that participants in that group aligned their own opinion with the definition.
[EX A]: How did the authors demonstrate that showing a hate speech definition caused annotators to partially align their own opinion with the definition?

[EX Q]: We have observed that the number of epochs is an important parameter and its increase leads to results that rank our two worst models almost equal, or even better than others.
[EX A]:
How does different parameter settings impact the performance and semantic capacity of resulting model?