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: Then we define the similarity between INLINEFORM7 and INLINEFORM8 by, DISPLAYFORM0 We note that the similarity metric defined above for sentences is equally applicable for n-gram retrieval. 
 Question: Which similarity measure do they use in their n-gram retrieval approach?

SOLUTION: we define the similarity between INLINEFORM7 and INLINEFORM8 by, DISPLAYFORM0

PROBLEM: Using the distribution of the individual words in a category, we can compile distributions for the entire category, and therefore generate maps for these word categories.  
 Question: Do they build a model to automatically detect demographic, lingustic or psycological dimensons of people?

SOLUTION: No

PROBLEM: our method still can improve the state-of-the-art accuracy BIBREF7 from 60.32% to 60.34% Although we only have 57% of testing questions can benefit from the basic questions, our method still can improve the state-of-the-art accuracy BIBREF7 from 60.32% to 60.34%,  
 Question: What accuracy do they approach with their proposed method?

SOLUTION:
our method still can improve the state-of-the-art accuracy BIBREF7 from 60.32% to 60.34%