In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

We plan to apply semantic slot scaffold to news summarization. Specifically, we can annotate the critical entities such as person names or location names to ensure that they are captured correctly in the generated summary. We also plan to collect a human-human dialog dataset with more diverse human-written summaries.
Question: Is it expected to have speaker role, semantic slot and dialog domain annotations in real world datasets?
Not at the moment, but summaries can be additionaly extended with this annotations.