Question answering is conventionally used to assess RC ability, in both artificial agents and children learning to read.
existing RC datasets and tasks are dominated by questions that can be solved by selecting answers using superficial information (e.g., local context similarity or global term frequency); they thus fail to test for the essential integrative aspect of RC.