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.

In task 1, there are two top categories, namely, chit-chat and task-oriented dialogue.
How many intents were classified?

In our experiments, we used TF.IDF-based features over the title and over the content of the article we wanted to classify. We had these features twice – once for the title and once for the the content of the article, as we wanted to have two different representations of the same article. Thus, we used a total of 1,100 TF.IDF-weighted features (800 content + 300 title), limiting the vocabulary to the top 800 and 300 words, respectively (which occurred in more than five articles).
what lexical features did they experiment with?

In this work, we look at a wide range of attributes and report prediction results on 62 demographic attributes.

How many demographic attributes they try to predict?