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Few-shot named entity recognition (NER) enables us to build a NER system for a new domain using very few labeled examples.
Introduction to the CoNLL-2003 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang and Fien De Meulder. 2003 · 2003
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton. 2008 · 2008
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Ontonotes release 5.0 ldc2013t19
Weischedel Ralph, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, and Nianwen Xue. 2013 · 2013
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Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/uthealth corpus
Amber Stubbs and Özlem Uzuner. 2015 · 2014
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Results of the WNUT2017 shared task on novel and emerging entity recognition
Leon Derczynski, Eric Nichols, Marieke van Erp, and Nut Limsopatham. 2017 · 2017
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Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard Zemel. 2017 · 2017
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Few-shot classification in named entity recognition task
Alexander Fritzler, Varvara Logacheva, and Maksim Kretov. 2019 · 2019
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Induction networks for few-shot text classification
Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, and Jian Sun. 2019 · 2019
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Adapting meta knowledge graph information for multi-hop reasoning over few-shot relations
Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, and Zhiyuan Liu. 2019 · 2019
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Hierarchical attention prototypical networks for few-shot text classification
Shengli Sun, Qingfeng Sun, Kevin Zhou, and Tengchao Lv. 2019 · 2019
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TapNet: Neural network augmented with task-adaptive projection for few-shot learning
Sung Whan Yoon, Jun Seo, and Jaekyun Moon. 2019 · 2019
Cited alongside, same era.
Few-shot text classification with distributional signatures
Yujia Bao, Menghua Wu, Shiyu Chang, and Regina Barzilay. 2020 · 2020
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Neural snowball for few-shot relation learning
Tianyu Gao, Xu Han, Ruobing Xie, zhiyuan Liu, Fen Lin, Leyu Lin, , and Maosong Sun. 2020 · 2020
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Few-shot slot tagging with collapsed dependency transfer and label-enhanced task-adaptive projection network
Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Han Liu, and Ting Liu. 2020 · 2020
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Span-based joint entity and relation extraction with attention-based span-specific and contextual semantic representations
Bin Ji, Jie Yu, Shasha Li, Jun Ma, Qingbo Wu, Yusong Tan, and Huijun Liu. 2020 · 2020
Cited alongside, same era.
Few-NERD: A few-shot named entity recognition dataset
Ding Ning, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, and Zhiyuan Liu. 2021 · 2021
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NSP-BERT: A prompt-based zero-shot learner through an original pre-training task-next sentence prediction
Yi Sun, Yu Zheng, Chao Hao, and Hangping Qiu. 2021 · 2021
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Learning from miscellaneous other-class words for few-shot named entity recognition
Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou, and Juanzi Li. 2021 · 2021
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Prototypical verbalizer for prompt-based few-shot tuning
Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, and Zhiyuan Liu. 2022 · 2022
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Container: Few-shot named entity recognition via contrastive learning
Sarkar Snigdha Sarathi Das, Arzoo Katiyar, and Rui Zhang. 2022 · 2022
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Few-shot named entity recognition via meta-learning
Jing Li, Billy Chiu, Shanshan Feng, and Hao Wang. 2020 · 2020
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Simple and effective few-shot named entity recognition with structured nearest neighbor learning
Yi Yang and Arzoo Katiyar. 2020 · 2020
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Template-based named entity recognition using BART
Leyang Cui, Yu Wu, Jian Liu, Sen Yang, and Yue Zhang. 2021 · 2021
Cited alongside, same era.
SpanNER: Named entity re-/recognition as span prediction
Jinlan Fu, Xuanjing Huang, and Pengfei Liu. 2021 · 2021
Cited alongside, same era.
Few-shot named entity recognition: A comprehensive study
Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Weizhu Chen, Baolin Peng, Jianfeng Gao, and Jiawei Han. 2021 · 2021
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A span-based model for joint overlapped and discontinuous named entity recognition
Fei Li, ZhiChao Lin, Meishan Zhang, and Donghong Ji. 2021 · 2021
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Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Hai-Tao Zheng, and Maosong Sun. 2022 · 2022
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Ppt: Pre-trained prompt tuning for few-shot learning
Yuxian Gu, Xu Han, Zhiyuan Liu, and Minlie Huang. 2022 · 2022
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Decomposed meta-learning for few-shot named entity recognition
Tingting Ma, Huiqiang Jiang, Qianhui Wu, Tiejun Zhao, and Chin-Yew Lin. 2022 · 2022
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An enhanced span-based decomposition method for few-shot sequence labeling
Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, and Zhifang Sui. 2022 · 2022
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S-ner: A concise and efficient span-based model for named entity recognition
Jie Yu, Bin Ji, Shasha Li, Jun Ma, Huijun Liu, and Hao Xu. 2022 · 2022
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