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 test the existing debiasing approaches, CDA and REG, as well but since BIBREF5 reported that results fluctuate substantially with different REG regularization coefficients, we perform hyperparameter tuning and report the best results in Table TABREF12 . 
 Question: which existing strategies are compared?
[EX A]: Extractive

[EX Q]: we use a common sense definition of racist language, including all negative utterances, negative generalizations and insults concerning ethnicity, nationality, religion and culture. 
 Question: how did they ask if a tweet was racist?
[EX A]: Abstractive

[EX Q]: Table TABREF14 shows the effectiveness of our model (multi-task transformer) over the baseline transformer BIBREF8 .  
 Question: what are the baselines?
[EX A]:
Extractive