Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish

Dmytro Kalpakchi; Johan Boye

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arXiv · 2211.15568

Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish

Dmytro Kalpakchi·Johan Boye

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Abstract

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.

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Dmytro Kalpakchi, Johan Boye. 2022-11-28. Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish. https://arxiv.org/abs/2211.15568

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