面向教育的不可知问题生成的可行性研究
A Feasibility Study of Answer-Agnostic Question Generation for Education
摘要：
我们进行了一个可行性研究的答案不可知的问题生成模型的教科书段落的适用性。我们发现，在这样的系统中的错误的一个显着的一部分来自于问不相关的或无法解释的问题，这样的错误可以通过提供汇总输入得到改善。我们发现，给这些模型的人写的摘要，而不是原始文本的结果在一个显着增加的可接受性生成的问题（33% $\rightarrow$ 83%），由专家注释器确定。我们还发现，在没有人写的摘要，自动摘要可以作为一个很好的中间地带。
英文摘要：
We conduct a feasibility study into the applicability of answer-agnostic question generation models to textbook passages. We show that a significant portion of errors in such systems arise from asking irrelevant or uninterpretable questions and that such errors can be ameliorated by providing summarized input. We find that giving these models human-written summaries instead of the original text results in a significant increase in acceptability of generated questions (33% $\rightarrow$ 83%) as determined by expert annotators. We also find that, in the absence of human-written summaries, automatic summarization can serve as a good middle ground.
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。
