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What are the algorithms and technologies behind Microsoft’s LUIS in Project Oxford?

Posted on 2015/12/042016/08/31 by mendicott

What are the algorithms and technologies behind Microsoft’s LUIS in Project Oxford?

I have previously posted what I know about Project Oxford and Microsoft LUIS on the Chatbots.org forum at Countdown to Cortana on Windows 10, including a personal explanation provided by Jason Williams of Microsoft Research:

LUIS lets you build an LU model specific to your domain.  That LU models takes text (the “question”) as input and produces JSON as output.  The JSON contains 2 things: the “intent” of the whole question, and 0 or more entities, which are substrings.  The JSON does not contain the “answer” to read back—rather it is classifying the input into categories that you specify.  Your app can then use the “category” of the input (rather than the raw input text) to decide what to do.

There is some more recent information available on the blog at:

  • Microsoft expands availability of Project Oxford intelligent services (Oct 2015)
  • Meta Superintelligence Labs Faces Instability Amid Talent Exodus and Strategic Overreach
  • Meta Restructures AI Operations Under Alexandr Wang to Drive Superintelligence
  • From Oculus to EagleEye and New Roles for Virtual Beings
  • Meta Reality Labs and Yaser Sheikh Drove Photorealistic Telepresence and Its Uncertain Future
  • Meta’s Australian Enforcement Pattern Shows Structural Bias Functioning as Persecution

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