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This paper presents an evaluation of the quality of automatically generatedreading comprehension questions from Swedish text, using the Quinductor method.This method is a light-weight, data-driven but non-neural method for automaticquestion generation (QG). The evaluation shows that Quinductor is a viable QGmethod that can provide a strong baseline for neural-network-based QG methods.

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