ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension
Johns Hopkins University（约翰斯·霍普金斯大学）；Microsoft Research（微软研究院）
英文摘要：
We present a large-scale dataset, ReCoRD, for machine reading comprehension requiring commonsense reasoning. Experiments on this dataset demonstrate that the performance of state-of-the-art MRC systems fall far behind human performance. ReCoRD represents a challenge for future research to bridge the gap between human and machine commonsense reading comprehension. ReCoRD is available at http://nlp.jhu.edu/record.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
