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Large Language Models (LLMs) have demonstrated impressive capabilities for generalizing in unseen tasks.
Cross-lingual name tagging and linking for 282 languages
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A fast algorithm for computing longest common subsequences
James W Hunt and Thomas G Szymanski. 1977 · 1977
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Introduction to the conll-2003 shared task: Language-independent named entity recognition
Erik Tjong Kim Sang and Fien De Meulder. 2003 · 2003
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Overview of biocreative ii gene mention recognition
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Asgard: A portable architecture for multilingual dialogue systems
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Ontonotes release 5.0 ldc2013t19
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Ncbi disease corpus: a resource for disease name recognition and concept normalization
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Anatomical entity mention recognition at literature scale
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Polyglot-ner: Massive multilingual named entity recognition
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Bidirectional lstm-crf models for sequence tagging
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The chemdner corpus of chemicals and drugs and its annotation principles
Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M Lowe, et al. 2015 · 2015
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Named entity recognition with bidirectional lstm-cnns
Jason PC Chiu and Eric Nichols. 2016 · 2016
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Broad Twitter corpus: A diverse named entity recognition resource
Leon Derczynski, Kalina Bontcheva, and Ian Roberts. 2016 · 2016
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Biocreative v cdr task corpus: a resource for chemical disease relation extraction
Jiao Li, Yueping Sun, Robin J Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Thomas C Wiegers, and Zhiyong Lu. 2016 · 2016
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Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf. 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. 2018 · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2018 · 2018
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Crossweigh: Training named entity tagger from imperfect annotations
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, and Jiawei Han. 2019 · 2019
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The pile: An 800gb dataset of diverse text for language modeling
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Coarse-to-fine pre-training for named entity recognition
Xue Mengge, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, and Bin Wang. 2020 · 2020
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MultiNERD: A multilingual, multi-genre and fine-grained dataset for named entity recognition (and disambiguation)
Simone Tedeschi and Roberto Navigli. 2022 · 2022
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Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts
Asahi Ushio, Leonardo Neves, Vitor Silva, Francesco. Barbieri, and Jose Camacho-Collados. 2022 · 2022
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Sustainable ai: Environmental implications, challenges and opportunities
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga, Jinshi Huang, Charles Bai, et al. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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Named entity recognition as dependency parsing
Juntao Yu, Bernd Bohnet, and Massimo Poesio. 2020 · 2020
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Spanner: Named entity re-/recognition as span prediction
Jinlan Fu, Xuan-Jing Huang, and Pengfei Liu. 2021 · 2021
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Crossner: Evaluating cross-domain named entity recognition
Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, and Pascale Fung. 2021 · 2021
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WikiNEuRal: Combined neural and knowledge-based silver data creation for multilingual NER
Simone Tedeschi, Valentino Maiorca, Niccolò Campolungo, Francesco Cecconi, and Roberto Navigli. 2021 · 2021
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021 · 2021
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A unified generative framework for various ner subtasks
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Crossroads, buildings and neighborhoods: A dataset for fine-grained location recognition
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Runwei Guan, Ka Lok Man, Feifan Chen, Shanliang Yao, Rongsheng Hu, Xiaohui Zhu, Jeremy Smith, Eng Gee Lim, and Yutao Yue. 2023 · 2023
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The flan collection: Designing data and methods for effective instruction tuning
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Code llama: Open foundation models for code
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Gollie: Annotation guidelines improve zero-shot information-extraction
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Instructuie: Multi-task instruction tuning for unified information extraction
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Zero-shot information extraction via chatting with chatgpt
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Gliner: Generalist model for named entity recognition using bidirectional transformer
Urchade Zaratiana, Nadi Tomeh, Pierre Holat, and Thierry Charnois. 2023 · 2023
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Universalner: Targeted distillation from large language models for open named entity recognition
Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, and Hoifung Poon. 2023 · 2023
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A stack-propagation framework with token-level intent detection for spoken language understanding
Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, and Ting Liu. 2019 · 2087
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