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URL: https://github.com/google-research/bert
Proper Citation: BERT (RRID:SCR_018008)
Description: Technique for Natural Language Processing pre-training developed by Google. Pre-training of Deep Bidirectional Transformers for Language Understanding. Language representation model designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers.
Abbreviations: BERT
Synonyms: Bidirectional Encoder Representations from Transformers
Resource Type: software application, software resource
Keywords: text mining, natural language processing, pre-training, Google, deep bidirectional transformers, language understanding, unlabeled text, language respresentation model
Availability: Free, Available for download, Freely available
Resource Name: BERT
Resource ID: SCR_018008
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
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