Task: Question Understanding
Input (English): 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.  
 Question: Which neural architecture do they use as a base for their attention conflict mechanisms?
Output (English): Abstractive