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
Rok vydání:	2022
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence
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
Externí odkaz:	http://arxiv.org/abs/2210.03427 Zobrazit plný text záznamu View this record from Arxiv