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: The incomplete dataset used for training is composed of lower-cased incomplete data obtained by manipulating the original corpora.

Answer: Do they test their approach on a dataset without incomplete data?


Question: Further, FSDM has a new module called response slot binary classifier that adds extra supervision to generate the slots that will be present in the response more precisely before generating the final textual agent response (see Section "Methodology" for details).

Answer: How do slot binary classifiers improve performance?


Question: But we also showed that in some cases the saliency maps seem to not capture the important input features.  The second observation we can make is that the saliency map doesn't seem to highlight the right things in the input for the summary it generates

Answer:
Is the explanation from saliency map correct?