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Named entity recognition (NER) is the task to identify mentions of rigid designators from text belonging to predefined semantic types such as person, location, organization etc.
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M. C. Phan and A. Sun, “Collective named entity recognition in user comments via parameterized label propagation,” J. Assoc. Inf. Sci. Technol. , 2019
2019
Closest in time.
M. Ott, S. Edunov, A. Baevski, A. Fan, S. Gross, N. Ng, D. Grangier, and M. Auli, “fairseq: A fast, extensible toolkit for sequence modeling,” in NAACL-HLT , 2019, pp. 48–53
2019
Closest in time.
B. Y. Lin and W. Lu, “Neural adaptation layers for cross-domain named entity recognition,” in EMNLP , 2018, pp. 2012–2022
2022
Closest in time.