On the Linguistic and Pedagogical Quality of Automatic Question Generation via Neural Machine Translation

Author:

Steuer TimORCID,Bongard Leonard,Uhlig Jan,Zimmer Gianluca

Publisher

Springer International Publishing

Reference17 articles.

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2. Chen, G., Yang, J., Hauff, C., Houben, G.J.: LearningQ: a large-scale dataset for educational question generation. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 12 (2018)

3. Chi, Z., Dong, L., Wei, F., Wang, W., Mao, X.L., Huang, H.: Cross-lingual natural language generation via pre-training. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 7570–7577 (2020)

4. Dong, L., et al.: Unified language model pre-training for natural language understanding and generation. arXiv preprint arXiv:1905.03197 (2019)

5. Du, X., Shao, J., Cardie, C.: Learning to ask: neural question generation for reading comprehension. arXiv preprint arXiv:1705.00106 (2017)

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