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Large language models (LLMs) have demonstrated dominating performance in many NLP tasks, especially on generative tasks.
A unified mrc framework for named entity recognition
Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, and Jiwei Li. 2019 · 1910
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An activity phosphorylating tyrosine in polyoma t antigen immunoprecipitates
Walter Eckhart, Mary Anne Hutchinson, and Tony Hunter. 1979 · 1979
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The unified medical language system (umls): integrating biomedical terminology
Olivier Bodenreider. 2004 · 2004
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End-to-end sequence labeling via bi-directional lstm-cnns-crf
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The colorado richly annotated full text (craft) corpus: Multi-model annotation in the biomedical domain
K Bretonnel Cohen, Karin Verspoor, Karën Fort, Christopher Funk, Michael Bada, Martha Palmer, and Lawrence E Hunter. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019
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Cross-type biomedical named entity recognition with deep multi-task learning
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, and Jiawei Han. 2019 · 2019
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Unified structure generation for universal information extraction
Yaojie Lu, Qing Liu, Dai Dai, Xinyan Xiao, Hongyu Lin, Xianpei Han, Le Sun, and Hua Wu. 2022 · 2022
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Biomedical entity recognition by detection and matching
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Chain of knowledge: A framework for grounding large language models with structured knowledge bases
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Aioner: all-in-one scheme-based biomedical named entity recognition using deep learning
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Gpt-ner: Named entity recognition via large language models
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Verify-and-edit: A knowledge-enhanced chain-of-thought framework
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Chain-of-thought prompting elicits reasoning in large language models
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Cited alongside, same era.
Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, and Lidong Bing. 2023 · 2023
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Universalner: Targeted distillation from large language models for open named entity recognition
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