TASK DEFINITION: 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.
PROBLEM: We initialized the embeddings of these words with 300 dimensional Glove embeddings BIBREF31 .  
 Question: Do they use pretrained embeddings?

SOLUTION: Yes-no

PROBLEM: We consider 5 major profile attributes for further analysis. These attributes are username, display name, profile image, location and description respectively. 
 Question: What profile metadata is used for this analysis?

SOLUTION: Extractive

PROBLEM: For both POS tagging and dependency parsing, we run experiments on the Wall Street Journal (WSJ) portion of the Penn Treebank. 
 Question: What datasets do they evaluate on?

SOLUTION:
Extractive