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.

Fenerbahçe We have decided to consider tweets about popular sports clubs as our domain for stance detection.  Hence we have determined our targets as Galatasaray (namely Target-1) and Fenerbahçe (namely, Target-2) which are two of the most popular football clubs in Turkey.  Then, we have annotated the stance information in the tweets for these targets as Favor or Against. For the purposes of the current study, we have not annotated any tweets with the Neither class. 
 Question: How were the tweets annotated?
tweets are annotated with only Favor or Against for two targets - Galatasaray and Fenerbahçe

 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?
 dataset on Mechanical Turk involving human perception, action and communication

The attention function BIBREF11 is used to compute the similarity score between passages and questions as: INLINEFORM2 
 Question: Do they use attention?

Yes