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.

[Q]: Task 1: Quora Duplicate Question Pair Detection Task 2: Ranking questions in Bing's People Also Ask 
 Question: On which tasks do they test their conflict method?
[A]: Task 1: Quora Duplicate Question Pair Detection Task 2: Ranking questions


[Q]: Suppose there are INLINEFORM0 mentions in documents on average, among these global models, NCEL not surprisingly has the lowest time complexity INLINEFORM1 since it only considers adjacent mentions, where INLINEFORM2 is the number of sub-GCN layers indicating the iterations until convergence. 
 Question: Do they only use adjacent entity mentions or use more than that in some cases (next to adjacent)?
[A]: NCEL considers only adjacent mentions.


[Q]: We create three additional training datasets by adding sentences involving object RCs to the original Wikipedia corpus (Section lm). To this end, we randomly pick up 30 million sentences from Wikipedia (not overlapped to any sentences in the original corpus), parse by the same parser, and filter sentences containing an object RC, amounting to 680,000 sentences.  
 Question: How do they perform data augmentation?
[A]:
They randomly sample sentences from Wikipedia that contains an object RC and add them to training data