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Link a readable version of the original BERT paper #2735

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Link a readable version of the original BERT paper #2735

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2 changes: 2 additions & 0 deletions chapter_natural-language-processing-pretraining/bert.md
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Expand Up @@ -82,6 +82,8 @@ Combining the best of both worlds,
BERT (Bidirectional Encoder Representations from Transformers)
encodes context bidirectionally and requires minimal architecture changes
for a wide range of natural language processing tasks :cite:`Devlin.Chang.Lee.ea.2018`.
A section-addressable version of the original BERT paper is also available
[online](https://webeditions.page/works/bert-pre-training/).
Using a pretrained Transformer encoder,
BERT is able to represent any token based on its bidirectional context.
During supervised learning of downstream tasks,
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