Deep question generation model based on dual attention guidance
Author:
Funder
Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13042-024-02249-6.pdf
Reference47 articles.
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2. Patel A, Bindal A, Kotek H, Klein C, Williams J (2021) Generating natural questions from images for multimodal assistants. In: ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2270–2274
3. Serban IV, García-Durán A, Gulcehre C, Ahn S, Chandar S, Courville A, Bengio Y (2016) Generating factoid questions with recurrent neural networks: The 30M factoid question-answer corpus. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 588–598
4. Wang Y, Liu C, Huang M, Nie L (2018) Learning to ask questions in open-domain conversational systems with typed decoders. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2193–2203
5. Tang D, Duan N, Qin T, Yan Z, Zhou M (2017) Question answering and question generation as dual tasks. arXiv preprint arXiv:1706.02027
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