In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

Ex Input:
Experimental Setup 
 Question: what english datasets were used?

Ex Output:
Answer with content missing: (Data section) Penn Treebank (PTB)


Ex Input:
Consequently, we investigate ways to detect suspicious accounts by considering their tweets in groups (chunks). Our hypothesis is that suspicious accounts have a unique pattern in posting tweet sequences. Since their intention is to mislead, the way they transition from one set of tweets to the next has a hidden signature, biased by their intentions. Given a news Twitter account, we read its tweets from the account's timeline. Then we sort the tweets by the posting date in ascending way and we split them into $N$ chunks. Each chunk consists of a sorted sequence of tweets labeled by the label of its corresponding account. 
 Question: How is a "chunk of posts" defined in this work?

Ex Output:
chunk consists of a sorted sequence of tweets labeled by the label of its corresponding account


Ex Input:
We used fastText and SVM BIBREF16 for preliminary experiments.  
 Question: What classification models were used?

Ex Output:

fastText and SVM BIBREF16