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.

[EX Q]: In this paper we focus on the skipgram approach with random negative examples proposed in BIBREF0 .  
 Question: Do they use skipgram version of word2vec?
[EX A]: Yes-no

[EX Q]: . Grammatically correct text is needed as the starting point for inserting artificial errors, and we used two different sources: 1) the corrected version of the same FCE training set on which the system is trained (450K tokens), and 2) example sentences extracted from the English Vocabulary Profile (270K tokens). 
 Question: Which languages are explored in this paper?
[EX A]: Extractive

[EX Q]: Since the present study focuses on Spanish tweets, all tweets from the English datasets were translated into Spanish.  
 Question: What other languages did they translate the data from?
[EX A]:
Extractive