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]: It thus seems feasible that by using a similar model, we can produce text samples that are conditioned upon a set of user-specified keywords. To illustrate by example, say a user desires the generated output to contain the keywords, $\lbrace subway, manhattan\rbrace $ .  
 Question: What are the user-defined keywords?
[EX A]: Abstractive

[EX Q]: Our baseline is TransE since that the score function of our models is based on TransE. 
 Question: What baselines are used for comparison?
[EX A]: Extractive

[EX Q]: Therefore, we used the crowdsourcing platform CrowdFlower (CF) for our data collection. 
 Question: How was this data collected?
[EX A]:
Extractive