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: In recent years, there has been a rapid growth in the usage of social media. People post their day-to-day happenings on regular basis. BIBREF0 propose four tasks for detecting drug names, classifying medication intake, classifying adverse drug reaction and detecting vaccination behavior from tweets. We participated in the Task2 and Task4. 
 Question: Was the system only evaluated over the second shared task?

A: Yes-no
****
Q: we apply our domain adaptation method to a neural captioning model and show performance improvement over other standard methods on several datasets and metrics.  
 Question: Did they only experiment with captioning task?

A: Yes-no
****
Q: In this study, we concentrate our effort on re-assessing keyphrase extraction performance on three increasingly sophisticated levels of document preprocessing described below. 
 Question: what keyphrase extraction models were reassessed?

A:
Abstractive
****