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]: 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. 
[A]: Are there any new finding in analasys of trinomials that was not present binomials?


[Q]: Notably, automatic translations of TED talks contain more words than the corresponding reference translation, which means that machine-translated texts of this type have also more potential tokens to enter in a coreference relation, and potentially indicating a shining through effect. The same does not happen with the news test set. We see how NMT translations increase the number of mentions about $30\%$ with respect to human references showing even a more marked explicitation effect than human translations do.
[A]: What translationese effects are seen in the analysis?


[Q]: Our Pointer-Gen+ARL-SEN model achieves the best performance of 60.8%. This is an absolute improvement of 18.2% over the Pointer-Gen baseline.
[A]:
What is this method improvement over the best performing state-of-the-art?