Few-Shot Class-Incremental Learning for Named Entity Recognition

Author:

Wang Rui,Yu Tong,Zhao Handong,Kim Sungchul,Mitra Subrata,Zhang Ruiyi,Henao Ricardo

Publisher

Association for Computational Linguistics

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition;Knowledge-Based Systems;2024-07

2. Thinking the Importance of Patient’s Chief Complaint in TCM Syndrome Differentiation;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08

3. Few-shot Class Incremental Learning for Event Extraction;2023 9th International Conference on Big Data and Information Analytics (BigDIA);2023-12-15

4. Decoupled Two-Phase Framework for Class-Incremental Few-Shot Named Entity Recognition;Tsinghua Science and Technology;2023-10

5. Neural Insights for Digital Marketing Content Design;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

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