A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation

Author:

Liu Yongkang,Nie Ercong,Feng Shi,Hua Zheng,Ding Zifeng,Wang Daling,Zhang Yifei,Schütze Hinrich

Publisher

Springer Nature Switzerland

Reference55 articles.

1. Adiwardana, D., et al.: Towards a human-like open-domain chatbot. arXiv preprint arXiv:2001.09977 (2020)

2. Bang, N., Lee, J., Koo, M.W.: Task-optimized adapters for an end-to-end task-oriented dialogue system. arXiv preprint arXiv:2305.02468 (2023)

3. Bang, Y., et al.: A multitask, multilingual, multimodal evaluation of chatGPT on reasoning, hallucination, and interactivity. arXiv preprint arXiv:2302.04023 (2023)

4. Chen, X., Cardie, C.: Multinomial adversarial networks for multi-domain text classification. arXiv preprint arXiv:1802.05694 (2018)

5. Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. In: NIPS 2014 Workshop on Deep Learning, December 2014 (2014)

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