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.

CodeInternational: A tool which can translate code between human languages, powered by Google Translate.

 
 Question: Is this auto translation tool based on neural networks?
Yes-no

Finally, the decoder task, which predicts the target sequence probability at time INLINEFORM3 based on previous output and context information INLINEFORM4 , can be formulated as: DISPLAYFORM0 
 Question: How does their decoder generate text?
Extractive

Our model introduces a multi-turns inference mechanism to process multi-perspective matching features.  
 Question: Which matching features do they employ?

Abstractive