← All works
Research paper

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

At a glance

BERT learns word meaning from the text on both sides.

In one paragraph

BERT learns from the words on both sides of a gap in a sentence, building a richer sense of context. The same pretrained model can then be adapted to tasks such as answering questions or comparing sentences. It improved results across eleven language-understanding tests.

Authors 4

  1. Jacob Devlin
  2. Ming-Wei Chang
  3. Kenton Lee
  4. Kristina Toutanova