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.

Example Input: We consider QA PGNet and Multi-decoder QA PGNet with lookup table embedding as baseline models and improve on the baselines with other variations described below. 
 Question: What is the baseline?
Example Output: Extractive

Example Input: Table TABREF14 shows the effectiveness of our model (multi-task transformer) over the baseline transformer BIBREF8 .  
 Question: what are the baselines?
Example Output: Extractive

Example Input: Each game's video ranges from 30 to 50 minutes in length which contains image and chat data linked to the specific timestamp of the game. 
 Question: What is the average length of the recordings?
Example Output:
Abstractive