Unsupervised cross-lingual model transfer for named entity recognition with contextualized word representations

Named entity recognition (NER) is one fundamental task in the natural language processing (NLP) community. Supervised neural network models based on contextualized word representations can achieve highly-competitive performance, which requires a large-scale manually-annotated corpus for training. Wh...

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Detalles Bibliográficos
Autores principales: Yan, Huijiong, Qian, Tao, Xie, Liang, Chen, Shanguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454935/
https://www.ncbi.nlm.nih.gov/pubmed/34547014
http://dx.doi.org/10.1371/journal.pone.0257230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454935/
https://www.ncbi.nlm.nih.gov/pubmed/34547014
http://dx.doi.org/10.1371/journal.pone.0257230

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