Task: Question Answering
Input (English): Our architecture was designed to show that using a model that captures better information about the context and sequential nature of the text can outperform lexicon-based methods commonly used in the literature. 
 Question: What meaningful information does the GRU model capture, which traditional ML models do not?
Output (English):  the context and sequential nature of the text