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Gmail to use neural networks to auto generate email replies

  • Google has introduced
    a ‘Smart Reply’ feature in Gmail that auto predicts responses by analysing the
    context in emails. The system is built on a pair of recurrent neural networks,
    one used to encode incoming emails, and the other to predict possible
    responses, reported
    medianama.
  •  
  • The feature will be
    • Google has introduced
      a ‘Smart Reply’ feature in Gmail that auto predicts responses by analysing the
      context in emails. The system is built on a pair of recurrent neural networks,
      one used to encode incoming emails, and the other to predict possible
      responses, reported
      medianama.
    •  
    • The feature will be
      made available this week on the Inbox app on both Google Play and the App Store
      in English. It will provide three responses to each email, of which the user
      can select one, and forward it or modify it.
    •  
    • Examples include
      replies like “I don’t, sorry”, “I’ll send it to you”, and “I will have to look
      for it”, for an email that asked for the documentation of a new software.
    •  
    • Inbox uses machine
      learning to recognize emails that need responses, and to generate the natural
      language responses on the fly. The responses users choose (or don’t) help
      improve future suggestions. It does not use ‘rules’ to determine what to reply,
      rather uses a recurrent neural network to consume each word in an email and
      create a vector (list of numbers).
    •  
    • Google mentions that
      the network’s operations are entirely learned, and that it was trained to
      predict possible responses. The system is fully automated and no humans get to
      read the mails.
    •  
    • It works similarly to
      how Google displays ads within Gmail (it uses keywords in the email to
      determine user interest), and features like suggesting reminders.

     

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