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:
An extrinsic evaluation was carried out on the task of Open IE BIBREF7. 
 Question: Is the semantic hierarchy representation used for any task?

Ex Output:
Yes, Open IE


Ex Input:
Despite this, we found that the training of our embeddings was not considerably slower than the training of order-2 equivalents such as SGNS. Explicitly, our GPU trained CBOW vectors (using the experimental settings found below) in 3568 seconds, whereas training CP-S and JCP-S took 6786 and 8686 seconds respectively. 
 Question: Do they measure computation time of their factorizations compared to other word embeddings?

Ex Output:
Yes


Ex Input:
Querying posts on Twitter with extracted lexicons led to a collection of $19,300$ tweets. In order to have lexical diversity, we added 2500 randomly sampled tweets to our dataset. 
 Question: How many tweets were collected?

Ex Output:

$19,300$ added 2500 randomly sampled tweets