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]: We compare classification and regression approaches and show that classification produces better results than regression but the quality of the results depends on the approach followed to annotate the data labels. 
 Question: Did classification models perform better than previous regression one?
[EX A]: Yes-no

[EX Q]: As detailed before, we adapted the cluster-linking dataset from rupnik2016news to evaluate our online crosslingual clustering approach. 
 Question: What are the sources of the datasets?
[EX A]: Extractive

[EX Q]: Before designing this NLP toolkit, we conducted a survey among engineers and identified a spectrum of three typical personas. 
 Question: How do the authors evidence the claim that many engineers find it a big overhead to choose from multiple frameworks, models and optimization techniques?
[EX A]:
Abstractive