Author:
Xu Lingjiao,Chen Xingyuan,Wang Bing,Jin Peng
Publisher
Springer Nature Singapore
Reference30 articles.
1. Wenhao, Yu., et al.: A survey of knowledge-enhanced text generation. ACM Comput. Surv. 54(11s), 1–38 (2022)
2. Shao, Z., Huang, M., Wen, J., Xu, W., Zhu, X.: Long and diverse text generation with planning-based hierarchical variational model. arXiv preprint arXiv:1908.06605 (2019)
3. Heilman, M.: Automatic factual question generation from text. Ph.D. thesis, Carnegie Mellon University (2011)
4. El-Kassas, W.S., Salama, C.R., Rafea, A.A., Mohamed, H.K.: Automatic text summarization: a comprehensive survey. Expert Syst. Appl. 165, 113679 (2021)
5. Qin, Y., Wang, Z., Xi, D.: Tree cycleGAN with maximum diversity loss for image augmentation and its application into gear pitting detection. Appl. Soft Comput. 114, 108130 (2022)