  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.
