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: Our baseline is a GRU network for each of the three tasks.

A: Are the models compared to some baseline models?
****
Q: Note that GANE-AP delivers better results compared with GANE-OT, suggesting the attention parsing mechanism can further improve the low-level mutual attention matrix.

A: Which of their proposed attention methods works better overall?
****
Q: Multiple turns: The average number of utterances per dialog is about 23 which ensures context-rich language behaviors.

A:
What is the average number of turns per dialog?
****