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Quality management and assurance is key for space agencies to guarantee thesuccess of space missions, which are high-risk and extremely costly. In thispaper, we present a system to generate quizzes, a common resource to evaluatethe effectiveness of training sessions, from documents about quality assuranceprocedures in the Space domain. Our system leverages state of the artauto-regressive models like T5 and BART to generate questions, and a RoBERTamodel to extract answers for such questions, thus verifying their suitability.

Generating Quizzes to Support Training on Quality Management and Assurance in Space Science and Engineering