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Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data
[article]
2021
arXiv
pre-print
Generating high quality question-answer pairs is a hard but meaningful task. Although previous works have achieved great results on answer-aware question generation, it is difficult to apply them into practical application in the education field. This paper for the first time addresses the question-answer pair generation task on the real-world examination data, and proposes a new unified framework on RACE. To capture the important information of the input passage we first automatically
arXiv:2109.05179v2
fatcat:sjemkrozwnfshcywyv5672oiju