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]: If we re-train the skip-gram model and update the emoji map periodically on new escort ads, when traffickers switch to new emojis, the map can link the new emojis to the old ones, assisting anti-trafficking experts in expanding the lexicon of trafficking flags. This approach also works for acronyms and deliberate typos.
[A]: How is the lexicon of trafficking flags expanded?


[Q]: We used fastText and SVM BIBREF16 for preliminary experiments. 
[A]: What classification models were used?


[Q]: We first investigated overall detection of any NMT-Fake reviews (1,006 fake reviews and 994 real reviews).
[A]:
How many reviews in total (both generated and true) do they evaluate on Amazon Mechanical Turk?