论文标题
自动生成问答对以评估瑞典的基本阅读理解
Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish
论文作者
论文摘要
本文使用Quontuctor方法介绍了对瑞典文本自动产生的阅读理解问题质量的评估。此方法是一种自动问题生成（QG）的轻巧，数据驱动但非神经方法。评估表明，quctuctor是一种可行的QG方法，可以为基于神经网络的QG方法提供强大的基线。
This paper presents an evaluation of the quality of automatically generated reading comprehension questions from Swedish text, using the Quinductor method. This method is a light-weight, data-driven but non-neural method for automatic question generation (QG). The evaluation shows that Quinductor is a viable QG method that can provide a strong baseline for neural-network-based QG methods.
