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.

Q: In contrast to existing bottlenecks, this work targets three different types of social networks (Formspring: a Q&A forum, Twitter: microblogging, and Wikipedia: collaborative knowledge repository) for three topics of cyberbullying (personal attack, racism, and sexism) without doing any explicit feature engineering by developing deep learning based models along with transfer learning.

A: What cyberbulling topics did they address?
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Q: Trinomials are likely to appear in exactly one order, and when they appear in more than one order the last word is almost always the same across all instances.

A: Are there any new finding in analasys of trinomials that was not present binomials?
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Q: After excluding all the words that are not used by at least three separate users in our training set, we build our AllWords model by counting the frequencies of all the remaining words and training a multinomial Naive Bayes classifier.

A:
What model did they use for their system?
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