Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition-Reference-Cited by-同舟云学术

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Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
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Author:

Tong Meihan,Wang Shuai,Xu Bin,Cao Yixin,Liu Minghui,Hou Lei,Li Juanzi

Publisher

Association for Computational Linguistics

Cited by 17 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. RepEKShot: an evidential k-nearest neighbor classifier with repulsion loss for few-shot named entity recognition;The Journal of Supercomputing;2024-06-20

3. Decomposed Meta-Learning for Few-Shot Sequence Labeling;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. ProtoNER: Few Shot Incremental Learning for Named Entity Recognition Using Prototypical Networks;Lecture Notes in Business Information Processing;2024

5. Prompt-Based Data Augmentation Framework for Few-Shot Named Entity Recognition;Lecture Notes in Computer Science;2024

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