TASK DEFINITION: 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.
PROBLEM: We find that while optimizing its reformulations to adapt to the language of the QA system, AQA diverges from well structured language in favour of less fluent, but more effective, classic information retrieval (IR) query operations.

SOLUTION: What is the difference in findings of Buck et al? It looks like the same conclusion was mentioned in Buck et al..

PROBLEM: We compared our multi-turn emotionally engaging dialog model (denoted as MEED) with two baselinesthe vanilla sequence-to-sequence model (denoted as S2S) and HRAN.

SOLUTION: What two baseline models are used?

PROBLEM: We use the publicly available dataset KVRET BIBREF5 in our experiments. This dataset includes dialogues in 3 domains: calendar, weather, navigation (POI) which is suitable for our mix-domain dialogue experiments.

SOLUTION:
Which domains did they explored?