Dual Contrastive Learning for Cross-Domain Named Entity Recognition
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- Dual Contrastive Learning for Cross-Domain Named Entity Recognition
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Association for Computing Machinery
New York, NY, United States
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- Research-article
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- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities, South China University of Technology
- Science and Technology Planning Project of Guangdong Province
- Guangdong Provincial Fund for Basic and Applied Basic Research—Regional Joint Fund Project (Key Project)
- Guangdong Provincial Natural Science Foundation for Outstanding Youth Team Project
- Chinese Association for Artificial Intelligence (CAAI)-Huawei MindSpore Open Fund, and the China Computer Federation (CCF)-Zhipu AI Large Model Fund. This research is also supported by NExT Research Center
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