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.
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Question: In task 1, there are two top categories, namely, chit-chat and task-oriented dialogue.

Answer: How many intents were classified?


Question: Since we were also interested in whether argumentation differs across registers, we included four different registers — namely (1) user comments to newswire articles or to blog posts, (2) posts in discussion forums (forum posts), (3) blog posts, and (4) newswire articles. 

Answer: How is the data in the new corpus come sourced?


Question: More specifically, in our model we use the context of the word to predict its label and by doing so our model learns label-aware context for each word in the sentence. In order to improve the interactivity between the word representation and its context, we increase the mutual information between the word representations and its context.

Answer:
How does their model utilize contextual information for each work in the given sentence in a multi-task setting? setting?