2019

Attending to Future Tokens For Bidirectional Sequence Generation

Lawrence, Carolin, Kotnis, Bhushan, Niepert, Mathias

Understand

Neural sequence generation is typically performed token-by-token and left-to-right.

  • Whenever a token is generated only previously produced tokens are taken into consideration.
  • In contrast, for problems such as sequence classification, bidirectional attention, which takes both past and future tokens into consideration, has been shown to perform much better.
  • We propose to make the sequence generation process bidirectional by employing special placeholder tokens.

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