instruction:
In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
question:
This paper explores the potential of predicting a user's industry –the aggregate of enterprises in a particular field– by identifying industry indicative text in social media. 
answer:
What do they mean by a person's industry?


question:
Both systems were optimized on the tst2014 using Minimum error rate training BIBREF20 . A detailed description of the systems can be found in BIBREF21 .
answer:
How is the PBMT system trained?


question:
We constructed our seed lexicon consisting of 15 positive words and 15 negative words, as shown in Section SECREF27. 
answer:

How big is seed lexicon used for training?