Cristian Berrio Aroca

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2022

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Generating Quizzes to Support Training on Quality Management and Assurance in Space Science and Engineering
Andres Garcia-Silva | Cristian Berrio Aroca | Jose Manuel Gomez-Perez | Jose Martinez | Patrick Fleith | Stefano Scaglioni
Proceedings of the 15th International Conference on Natural Language Generation: System Demonstrations

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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