<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/942</identifier><creators><creator><creatorName>Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova</creatorName></creator></creators><titles><title>bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-2024-003</title></titles><publisher>UFTAN UNIVERSITY</publisher><publicationYear>2024</publicationYear><resourceType resourceTypeGeneral="Text">Masters Thesis</resourceType><descriptions><description descriptionType="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.</description></descriptions></resource>