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: We use the Bayesian model of garg2012unsupervised as our base monolingual model. The semantic roles are predicate-specific. 
 Question: What does an individual model consist of?
Example Output: Bayesian model of garg2012unsupervised as our base monolingual model

Example Input: The dataset consists of more than $0.3$ million records and has been made available for future research. 
 Question: What is the size of the dataset?
Example Output: $0.3$ million records

Example Input: Visual Question Generation (VQG) is another emerging topic which aims to ask questions given an image. Motivated by this, BIBREF10 proposed open-ended VQG that aims to generate natural and engaging questions about an image. 
 Question: Do they survey visual question generation work?
Example Output:
Yes