Generating Quizzes to Support Training on Quality Management and Assurance in Space Science and Engineering
Autor: | García-Silva, Andrés, Berrío, Cristian, Gómez-Pérez, José Manuel |
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Rok vydání: | 2022 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | 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. Comment: In Proceedings of the 15th International Natural Language Generation Conference (INLG 2022) |
Databáze: | arXiv |
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