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]:  To remain consistent with experiments performed with LSTM's we use the morfessor for the subword tokenization in the Finnish Language. 
 Question: Is the LSTM baseline a sub-word model?
[EX A]: Yes-no

[EX Q]: We first run our experiment on BiLSTM, BiLSTM-CNN, BiLSTM-CRF BiLSTM-CNN-CRF using the hyper-parameters mentioned in Table TABREF30.  
 Question: Which machine learning models do they explore?
[EX A]: Extractive

[EX Q]: For sentiment classification, we systematically study the effect of character-level adversarial attacks on two architectures and four different input formats.  We also consider the task of paraphrase detection. 
 Question: What end tasks do they evaluate on?
[EX A]:
Abstractive