In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

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?
the context and sequential nature of the text