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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

作者: J, a, c 等60人
arXiv: 002
分类: c, s, ., C, L
📝 论文摘要
We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language representation models, BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers.