arxiv:2210.03427

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

Published on Oct 7, 2022

Authors:

Cristian Berrío ,

Abstract

A system leverages auto-regressive and transformer-based models to generate and verify quizzes from quality assurance documents for space missions.

AI-generated summary

Quality management and assurance is key for space agencies to guarantee the success of space missions, which are high-risk and extremely costly. In this paper, we present a system to generate quizzes, a common resource to evaluate the effectiveness of training sessions, from documents about quality assurance procedures in the Space domain. Our system leverages state of the art auto-regressive models like T5 and BART to generate questions, and a RoBERTa model to extract answers for such questions, thus verifying their suitability.

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