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.

Example Input: To collect a diverse training dataset, we have randomly sampled 1000 posts each from the subreddits politics, business, science, and AskReddit, and 1000 additional posts from the Reddit frontpage. 
 Question: what are the topics pulled from Reddit?
Example Output: politics, business, science, and AskReddit, and 1000 additional posts from the Reddit frontpage. 

Example Input: In a nutshell, B4MSA starts by applying text-transformations to the messages, then transformed text is represented in a vector space model (see Subsection SECREF13 ), and finally, a Support Vector Machine (with linear kernel) is used as the classifier. 
 Question: What are the components of the multilingual framework?
Example Output: text-transformations to the messages vector space model Support Vector Machine

Example Input: Trinomials are likely to appear in exactly one order, and when they appear in more than one order the last word is almost always the same across all instances.  
 Question: Are there any new finding in analasys of trinomials that was not present binomials?
Example Output:
Trinomials are likely to appear in exactly one order

