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.

Ex Input:
This model uses a particular RNN cell in order to store just relevant information about the given question.  Dynamic Memory stores information of entities present in $T$ . The addition of the $s_t^T q$ term in the gating function is our main contribution.  
 Question: How does the model recognize entities and their relation to answers at inference time when answers are not accessible?

Ex Output:
gating function Dynamic Memory


Ex Input:
We train MaLOPa on the concantenation of training sections of all seven languages. 
 Question: How many languages have this parser been tried on?

Ex Output:
seven


Ex Input:
We found that 51.25% of the gang members collected have a tweet that links to a YouTube video. Following these links, a simple keyword search for the terms gangsta and hip-hop in the YouTube video description found that 76.58% of the shared links are related to hip-hop music, gangster rap, and the culture that surrounds this music genre. 
 Question: What are the differences in the use of YouTube links between gang member and the rest of the Twitter population?

Ex Output:

76.58% of the shared links are related to hip-hop music, gangster rap, and the culture that surrounds this music genre