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]: The corpus consists of 53 documents, which contain an average number of 156.1 sentences per document, each with 19.55 tokens on average. 
 Question: How many documents are in the new corpus?
[EX A]: Extractive

[EX Q]: We first run our experiment on BiLSTM, BiLSTM-CNN, BiLSTM-CRF BiLSTM-CNN-CRF using the hyper-parameters mentioned in Table TABREF30.  
 Question: Which machine learning models do they explore?
[EX A]: Extractive

[EX Q]: This framework has potential applications when comparing different gold standards, considering the design choices for a new gold standard and performing qualitative error analyses for a proposed approach. 
 Question: Have they made any attempt to correct MRC gold standards according to their findings? 
[EX A]:
Yes-no