An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling-Reference-Cited by-同舟云学术

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An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling

Published:2022 Issue: Volume: Page:
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Container-title:Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Author:

Wang Peiyi,Xu Runxin,Liu Tianyu,Zhou Qingyu,Cao Yunbo,Chang Baobao,Sui Zhifang

Publisher

Association for Computational Linguistics

Cited by 13 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. Multi-Granularity Dual-Aware Contrastive Learning for Few-shot Named Entity Recognition;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. LACNER: Enhancing Few-Shot Named Entity Recognition with Label Words and Contrastive Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. RepEKShot: an evidential k-nearest neighbor classifier with repulsion loss for few-shot named entity recognition;The Journal of Supercomputing;2024-06-20

4. In-Context Learning for Few-Shot Nested Named Entity Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Few-Shot Named Entity Recognition with the Integration of Spatial Features;Wuhan University Journal of Natural Sciences;2024-04

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