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.

[Q]: We collect human judgments on Amazon Mechanical Turk via ParlAI BIBREF18. 
 Question: Do they use crowdsourcing to collect human judgements?
[A]: Yes-no


[Q]: We call this lifelong interactive learning and inference (LiLi). Lifelong learning is reflected by the facts that the newly acquired facts are retained in the KB and used in inference for future queries, and that the accumulated knowledge in addition to the updated KB including past inference performances are leveraged to guide future interaction and learning. 
 Question: In what way does LiLi imitate how humans acquire knowledge and perform inference during an interactive conversation?
[A]: Extractive


[Q]: In this paper we present our work, which is a part of the SociaL Media And Harassment Competition of the ECML PKDD 2019 Conference.   We are using the dataset of the competition, which includes text from tweets having the aforementioned categories. 
 Question: What were the datasets used in this paper?
[A]:
Abstractive