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Large language models have unlocked strong multi-task capabilities from reading instructive prompts.
GCDT: A global context enhanced deep transition architecture for sequence labeling
Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, and Jie Zhou. 2019 · 1906
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Dice loss for data-imbalanced NLP tasks
Xiaoya Li, Xiaofei Sun, Yuxian Meng, Junjun Liang, Fei Wu, and Jiwei Li. 2019 · 1911
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Cross-lingual name tagging and linking for 282 languages
Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight, and Heng Ji. 2017a · 1958
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Cross-lingual name tagging and linking for 282 languages
Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight, and Heng Ji. 2017b · 1958
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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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A linear programming formulation for global inference in natural language tasks
Dan Roth and Wen tau Yih. 2004 · 2004
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, T. J. Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeff Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
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ACE 2005 Multilingual Training Corpus
C. Walker and Linguistic Data Consortium. 2005 · 2005
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A frustratingly easy approach for joint entity and relation extraction
Zexuan Zhong and Danqi Chen. 2020 · 2005
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Ontonotes: The 90% solution
Eduard H. Hovy, Mitchell P. Marcus, Martha Palmer, Lance A. Ramshaw, and Ralph M. Weischedel. 2006 · 2006
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Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, and Stan Szpakowicz. 2010 · 2010
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Modeling relations and their mentions without labeled text
Sebastian Riedel, Limin Yao, and Andrew McCallum. 2010 · 2010
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Biomedical named entity recognition at scale
Veysel Kocaman and David Talby. 2020b · 2011
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Biomedical named entity recognition at scale
Veysel Kocaman and David Talby. 2020c · 2011
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FLERT: document-level features for named entity recognition
Stefan Schweter and Alan Akbik. 2020 · 2011
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Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
Harsha Gurulingappa, Abdul Mateen Rajput, Angus Roberts, Juliane Fluck, Martin Hofmann-Apitius, and Luca Toldo. 2012 · 2012
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POLYGLOT-NER: massive multilingual named entity recognition
Rami Al-Rfou, Vivek Kulkarni, Bryan Perozzi, and Steven Skiena. 2014 · 2014
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Ncbi disease corpus: A resource for disease name recognition and concept normalization
Rezarta Islamaj Dogan, Robert Leaman, and Zhiyong Lu. 2014 · 2014
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Balancing class for performance of classification with a clinical dataset
N Poolsawad, C Kambhampati, and JGF Cleland. 2014 · 2014
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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 Lowe, Roger Sayle, Riza Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktäschel, Sérgio Matos, David Campos, Buzhou Tang, Wang Qi, and Alfonso Valencia. 2015 · 2015
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openbiocorpora anatem
openbiocorpora. 2015 · 2015
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Relation classification via recurrent neural network
Dongxu Zhang and Dong Wang. 2015 · 2015
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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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Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
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Improving distantly supervised relation extraction using word and entity based attention
Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al. 2022 · 2022
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Findvehicle and vehiclefinder: A ner dataset for a text-image cross-modal vehicle retrieval system
Runwei Guan. 2022 · 2022
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Zero-shot triplet extraction by template infilling
Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, and Ndapa Nakashole. 2022 · 2022
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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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Cross-task generalization via natural language crowdsourcing instructions
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Sharmistha Jat, Siddhesh Khandelwal, and Partha Pratim Talukdar. 2018 · 2018
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SUNNYNLP at SemEval-2018 task 10: A support-vector-machine-based method for detecting semantic difference using taxonomy and word embedding features
Sunny Lai, Kwong Sak Leung, and Yee Leung. 2018 · 2018
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Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018
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A hierarchical framework for relation extraction with reinforcement learning
Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, and Minlie Huang. 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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Crossner: Evaluating cross-domain named entity recognition
Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, and Pascale Fung. 2020 · 2020
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Zs-bert: Towards zero-shot relation extraction with attribute representation learning
Chih-Yao Chen and Cheng-Te Li. 2021 · 2021
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REBEL: Relation extraction by end-to-end language generation
Pere-Lluís Huguet Cabot and Roberto Navigli. 2021 · 2021
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Swaroop Mishra, Daniel Khashabi, Chitta Baral, and Hannaneh Hajishirzi. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke E. Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Francis Christiano, Jan Leike, and Ryan J. Lowe. 2022 · 2022
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In-BoXBART: Get instructions into biomedical multi-task learning
Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, Murad Mohammad, and Chitta Baral. 2022 · 2022
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Phee: A dataset for pharmacovigilance event extraction from text
Zhao-Li Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, and Yulan He. 2022 · 2022
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DoSEA: A domain-specific entity-aware framework for cross-domain named entity recogition
Minghao Tang, Peng Zhang, Yongquan He, Yongxiu Xu, Chengpeng Chao, and Hongbo Xu. 2022 · 2022
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MultiNERD: A multilingual, multi-genre and fine-grained dataset for named entity recognition (and disambiguation)
Simone Tedeschi and Roberto Navigli. 2022a · 2022
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MultiNERD: A multilingual, multi-genre and fine-grained dataset for named entity recognition (and disambiguation)
Simone Tedeschi and Roberto Navigli. 2022b · 2022
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Super-NaturalInstructions: Generalization via declarative instructions on 1600+ NLP tasks
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, and Xudong Shen. 2022c · 2022
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How robust is gpt-3.5 to predecessors? a comprehensive study on language understanding tasks
Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, and Xuanjing Huang. 2023 · 2023
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The flan collection: Designing data and methods for effective instruction tuning
S. Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, and Adam Roberts. 2023 · 2023
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Universal information extraction as unified semantic matching
Jie Lou, Yaojie Lu, Dai Dai, Wei Jia, Hongyu Lin, Xianpei Han, Le Sun, and Hua Wu. 2023 · 2023
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OpenAI. 2023 · 2023
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An information extraction study: Take in mind the tokenization!
Christos Theodoropoulos and Marie-Francine Moens. 2023 · 2023
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Deepstruct: Pretraining of language models for structure prediction
Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, and Dawn Song. 2023 · 2023
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A comprehensive capability analysis of gpt-3 and gpt-3.5 series models
Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, et al. 2023 · 2023
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Optimizing bi-encoder for named entity recognition via contrastive learning
Sheng Zhang, Hao Cheng, Jianfeng Gao, and Hoifung Poon. 2023 · 2023
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