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In recent years, the rise of large language models (LLMs) has made it possible to directly achieve named entity recognition (NER) without any demonstration samples or only using a few samples through in-context learning (ICL).
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Partha Sarathy Banerjee, Baisakhi Chakraborty, Deepak Tripathi, Hardik Gupta, and Sourabh S. Kumar. 2019 · 1931
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Introduction to the conll-2003 shared task: Language-independent named entity recognition
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The automatic content extraction (ACE) program - tasks, data, and evaluation
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Nested named entity recognition revisited
Arzoo Katiyar and Claire Cardie. 2018 · 2018
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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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Sequence-to-nuggets: Nested entity mention detection via anchor-region networks
Hongyu Lin, Yaojie Lu, Xianpei Han, and Le Sun. 2019 · 2019
Cited alongside, same era.
Neural architectures for nested NER through linearization
Jana Straková, Milan Straka, and Jan Hajic. 2019 · 2019
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An effective transition-based model for discontinuous NER
Xiang Dai, Sarvnaz Karimi, Ben Hachey, and Cécile Paris. 2020 · 2020
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Pyramid: A layered model for nested named entity recognition
Jue Wang, Lidan Shou, Ke Chen, and Gang Chen. 2020 · 2020
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Named entity recognition as dependency parsing
Juntao Yu, Bernd Bohnet, and Massimo Poesio. 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
Zero-shot clinical entity recognition using chatgpt
Yan Hu, Iqra Ameer, Xu Zuo, Xueqing Peng, Yujia Zhou, Zehan Li, Yiming Li, Jianfu Li, Xiaoqian Jiang, and Hua Xu. 2023 · 2023
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Vicunaner: Zero/few-shot named entity recognition using vicuna
Bin Ji. 2023 · 2023
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Z-ICL: zero-shot in-context learning with pseudo-demonstrations
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OpenAI. 2023 · 2023
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Cited alongside, same era.
A unified generative framework for various NER subtasks
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, and Xipeng Qiu. 2021 · 2021
Cited alongside, same era.
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide Nathaniel Oyelade, Laith Mohammad Abualigah, Jeffrey O. Agushaka, Christopher Ifeanyi Eke, and Andronicus Ayobami Akinyelu. 2022 · 2022
Cited alongside, same era.
Good examples make A faster learner: Simple demonstration-based learning for low-resource NER
Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, and Xiang Ren. 2022 · 2022
Cited alongside, same era.
A survey on deep learning for named entity recognition
Jing Li, Aixin Sun, Jianglei Han, and Chenliang Li. 2022 · 2022
Cited alongside, same era.
Rethinking the role of demonstrations: What makes in-context learning work?
Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2022 · 2022
Cited alongside, same era.
Learning in-context learning for named entity recognition
Jiawei Chen, Yaojie Lu, Hongyu Lin, Jie Lou, Wei Jia, Dai Dai, Hua Wu, Boxi Cao, Xianpei Han, and Le Sun. 2023 · 2023
Cited alongside, same era.
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Gollie: Annotation guidelines improve zero-shot information-extraction
Oscar Sainz, Iker García-Ferrero, Rodrigo Agerri, Oier Lopez de Lacalle, German Rigau, and Eneko Agirre. 2023 · 2023
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Label words are anchors: An information flow perspective for understanding in-context learning
Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, and Xu Sun. 2023a · 2023
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C-pack: Packaged resources to advance general chinese embedding
Shitao Xiao, Zheng Liu, Peitian Zhang, and Niklas Muennighof. 2023 · 2023
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Empirical study of zero-shot NER with chatgpt
Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, and Hongwei Wang. 2023a · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023 · 2023
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Llama 3 model card
AI@Meta. 2024 · 2024
Closest in time.
Toner: Type-oriented named entity recognition with generative language model
Guochao Jiang, Ziqin Luo, Yuchen Shi, Dixuan Wang, Jiaqing Liang, and Deqing Yang. 2024b · 2024
Closest in time.