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Over the last two decades, the development of the CoNLL-2003 named entity recognition (NER) dataset has helped enhance the capabilities of deep learning and natural language processing (NLP).
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Introduction to the conll-2003 shared task: Language-independent named entity recognition
Erik F Sang and Fien De Meulder. 2003 · 2003
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Domain adaption of named entity recognition to support credit risk assessment
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Transfer learning for named entity recognition in financial and biomedical documents
Sumam Francis, Jordy Van Landeghem, and Marie-Francine Moens. 2019 · 2019
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Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
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Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, and Liqing Zhang. 2020 · 2020
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Sentiment correlation in financial news networks and associated market movements
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Measuring firm-level inflation exposure: A deep learning approach
Sudheer Chava, Wendi Du, Agam Shah, and Linghang Zeng. 2022 · 2022
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FiNER: Financial numeric entity recognition for XBRL tagging
Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, and Georgios Paliouras. 2022 · 2022
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Lexical repetitions lead to rote learning: Unveiling the impact of lexical overlap in train and test reference summaries
Prafulla Choubey, Alexander Fabbri, Caiming Xiong, and Chien-Sheng Wu. 2023 · 2023
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Few-NERD: A few-shot named entity recognition dataset
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Results of the wnut2017 shared task on novel and emerging entity recognition
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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. 2017b
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Improving named entity recognition by external context retrieving and cooperative learning
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu. 2021b
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