References
- QIN Libo, LI Zhouyang, LOU Jieming, YU Qiying, CHI Wanxiang. Review of research progress on natural language generation in task-based dialogue systems [J]. Journal of Chinese Information Technology, 2022.
- ZHANG Xiaoyu, LI Dongdong, REN Pengjie, CHEN Zhumin, MA Jun, REN Zhaochun. Knowledge-aware medical dialogue generation based on memory network [J]. Computer Research and Development, 2022.
- Wen T H, Gasic M, Kim D, et al. Stochastic language generation in dialogue using recurrent neural networks with convolutional sentence reranking [J]. 2015.
- Wen T H, Gasic M, Mrksic N, et al. Semantically conditioned lstm-based natural language generation for spoken dialogue systems [J]. 1508.01745, 2015.
- Dušek O, Jurčíček F. Sequence-to-sequence generation for spoken dialogue via deep syntax trees and strings [J]. 2016.
- Dušek O, Jurčíček F. A context-aware natural language generator for dialogue systems [J]. 2016.
- Tran V K, Nguyen L M. Neural-based natural language generation in dialogue using rnn encoder-decoder with semantic aggregation [J]. 2017.
- Wei Z, Liu Q, Peng B, et al. Task-oriented dialogue system for automatic diagnosis[C]//Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2018: 201–207.
- Su S Y, Huang C W, Chen Y N. Dual supervised learning for natural language understanding and generation [J]. 2019.
- Peng B, Zhu C, Li C, et al. Few-shot natural language generation for task-oriented dialog [J]. 2020.
- Li Y, Yao K. Interpretable nlg for task-oriented dialogue systems with heterogeneous rendering machines[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2021, 35(15): 13306–13314.
- Sutskever I, Vinyals O, Le Q V. Sequence to sequence learning with neural networks [J]. Advances in neural information processing systems, 2014, 27.
- Radford A, Narasimhan K, Salimans T, et al. Improving language understanding by generative pre-training [J]. 2018.
- Radford A, Wu J, Child R, et al. Language models are unsupervised multitask learners [J]. 2019, 1(8).