MSMD: A Multi-Stage Meta Distillation Strategy for Cross-Lingual Natural Language Understanding

Author:

Liu Han,Altenbek Gulila

Publisher

Springer Nature Singapore

Reference15 articles.

1. Qin, L., Che, W., Li, Y., et al.: A stack-propagation framework with token-level intent detection for spoken language understanding. In Proceedings of EMNLP, Hong Kong, China, pp. 2078–2087 (2019)

2. Qin, L., Liu, T., Che, W., et al.: A co-interactive transformer for joint slot filling and intent detection. In Proceedings of ICASSP, Toronto, Canada, pp. 8193–8197 (2021)

3. Meryem, M., Kim, D.S., et al.: X-METRA-ADA: cross-lingual meta-transfer learning adaptation to natural language understanding and question answering. In Proceedings of NAACL, online, pp. 3617–3632 (2021)

4. Tang, R., Lu, Y., Liu, L., et al.: Distilling task-specific knowledge from bert into simple neural networks. arXiv preprint arXiv:1903.12136 (2019)

5. Zhou, W., Xu, C., McAuley, J.: BERT learns to teach: knowledge distillation with meta learning. In: Proceedings of ACL, Berlin, Ireland, pp. 7037–7049 (2022)

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