Semi-supervised disentangled framework for transferable named entity recognition

Author:

Hao Zhifeng,Lv Di,Li Zijian,Cai RuichuORCID,Wen Wen,Xu Boyan

Funder

Guangzhou Research Collaborative Innovation Projects

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference41 articles.

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4. Cao, P., Chen, Y., Liu, K., Zhao, J., & Liu, S. (2018). Adversarial transfer learning for chinese named entity recognition with self-attention mechanism. In Proceedings of the 2018 conference on empirical methods in natural language processing (pp. 182–192).

5. Chen, M., Tang, Q., Wiseman, S., & Gimpel, K. (2019). A multi-task approach for disentangling syntax and semantics in sentence representations. In Proceedings of the 2019 conference of the north american chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers) (pp. 2453–2464).

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