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 Input:
The Wikipedia dataset consists of articles from English Wikipedia, with quality class labels assigned by the Wikipedia community. 
 Question: Which languages do they use?

Ex Output:
Extractive


Ex Input:
We also are especially interested in seeing this model applied to different languages. 
 Question: Have the authors tried this approach on other languages?

Ex Output:
Yes-no


Ex Input:
We thus adapt an off-the-shelf reward learning algorithm BIBREF7 to the supervised setting for automated data manipulation. 
 Question: What off-the-shelf reward learning algorithm from RL for joint data manipulation learning and model training is adapted?

Ex Output:

Extractive