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.

[Q]: The speech content was obtained from the closed captions (CC) provided by the YouTube ASR system which can be though as subtitles.
[A]: What ASR system do they use?

[Q]: For the comparison we chose the best text model for each representation. As expected we obtain the largest improvement ($22-26\%$ E.R) when text-based unsupervised models are combined with image representations.
[A]: How much better is inference that has addition of image representation compared to text-only representations?

[Q]: Similar trends are seen in the performance of other two state-of-the-art approaches BIBREF9 , BIBREF8 .
[A]:
What are the state of the art models?