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]: We create two models both of which constitutes of three main parts: encoder, interaction and classifier and take two sequences as input. The encoder is shared among the sequences simply uses two stacked GRU layers. The interaction part consists of only attention for one model while for the another one it consists of attention and conflict combined as shown in (eqn.11) . The classifier part is simply stacked fully-connected layers. 
[A]: Which neural architecture do they use as a base for their attention conflict mechanisms?


[Q]: For the datasets, we use Karpathy and Fei-Fei's split for MS-COCO dataset BIBREF10 .
[A]: What dataset/corpus is this work evaluated over?


[Q]: Meanwhile, attending colleges in the Northeast, West and South regions increases the possibility of posting about sexual harassment (positive coefficients), over the Midwest region. 
[A]:
Which geographical regions correlate to the trend?