TASK DEFINITION: In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering abstractive questions involves paraphrasing the context using novel sentences. Yes-no question is a question whose expected answer is one of two choices, one that affirms the question and one that denies the question. Typically, the choices are either yes or no.
PROBLEM: We have also performed preliminary experiments on the Arabic portion of the SemEval-2016 cQA task.  
 Question: Did they experimnet in other languages?

SOLUTION: Yes-no

PROBLEM: In this paper we focus on the skipgram approach with random negative examples proposed in BIBREF0 .  
 Question: Do they use skipgram version of word2vec?

SOLUTION: Yes-no

PROBLEM: The Word2Vec architecture has inspired a great deal of research in the bio/cheminformatics domains. The Word2Vec algorithm has been successfully applied for determining protein classes BIBREF44 and protein-protein interactions (PPI) BIBREF56. 
 Question: Is there any concrete example in the paper that shows that this approach had huge impact on drug discovery?

SOLUTION:
Yes-no