TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions

1 May 2020Qiang NingHao WuRujun HanNanyun PengMatt GardnerDan Roth

A critical part of reading is being able to understand the temporal relationships between events described in a passage of text, even when those relationships are not explicitly stated. However, current machine reading comprehension benchmarks have practically no questions that test temporal phenomena, so systems trained on these benchmarks have no capacity to answer questions such as "what happened before/after [some event]?".. (read more)

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