bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-2024-003

Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

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bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-2024-003

Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina ToutanovaUFTAN UNIVERSITYComputer Science2024

Abstract

This record links to the BERT paper, which describes bidirectional transformer pre-training for language understanding tasks. It gives the platform a realistic NLP document for search, indexing, keyword generation, citation display, external preview, and metadata validation tests.

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Author: Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
Supervisor: Dr. Amina T. Ibrahim
Faculty: Science
Department: Computer Science
Document type: Masters Thesis
Year: 2024
Keywords: BERT, language representation, bidirectional transformers, question answering, natural language processing
Access: Metadata
License: all_rights_reserved

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Auto-generated from the record metadata: authors, journal title, DOI, volume, issue/serial, pages and publication date. Review before final academic use.

Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova (2026). bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-2024-003 [Masters Thesis]. UFTAN UNIVERSITY. https://inrepscholar.com/uftan-university/projects/942

Source fields used: Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

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bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-2024-003

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