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Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish
November 28, 2022 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Dmytro Kalpakchi, Johan Boye
arXiv ID
2211.15568
Category
cs.CL: Computation & Language
Citations
1
Venue
arXiv.org
Last Checked
6 months ago
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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