TASK DEFINITION: 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.
PROBLEM: Furthermore, the basic seq2seq assumes a strict order between generated tokens, but in reality, we should not severely punish the model when it predicts the correct tokens in the wrong order. 
 Question: Do they impose any grammatical constraints over the generated output?

SOLUTION: No

PROBLEM:  Our street view environment was integrated into ParlAI BIBREF6 and used to collect a large-scale dataset on Mechanical Turk involving human perception, action and communication. 
 Question: What data did they use?

SOLUTION:  dataset on Mechanical Turk involving human perception, action and communication

PROBLEM: While confirming the effectiveness of BT, our study also proposed significantly cheaper ways to improve the baseline performance, using a slightly modified copy of the target, instead of its full BT.  
 Question: why are their techniques cheaper to implement?

SOLUTION:
They use a slightly modified copy of the target to create the pseudo-text instead of full BT to make their technique cheaper