BERT: Pre-training of deep bidirectional transformers for language understanding

doi:doi:10.57702/xvg4jrkz

BERT: Pre-training of deep bidirectional transformers for language understanding

This paper proposes BERT, a pre-trained deep bidirectional transformer for language understanding.

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Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova (2024). Dataset: BERT: Pre-training of deep bidirectional transformers for language understanding. https://doi.org/10.57702/xvg4jrkz

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.1145/3546577
Citation	https://doi.org/10.48550/arXiv.2305.12086 https://doi.org/10.48550/arXiv.2406.20054 https://doi.org/10.48550/arXiv.2105.12544 https://doi.org/10.48550/arXiv.2306.05245 https://doi.org/10.48550/arXiv.2402.06326 https://doi.org/10.48550/arXiv.2305.05393
Author	Jacob Devlin
More Authors	Ming-Wei Chang Kenton Lee Kristina Toutanova
Homepage	https://arxiv.org/abs/1810.04805