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How do I make a database for a question answering system?

Posted on 2015/08/292016/09/10 by mendicott

How do I make a database for a question answering system?

Generally, QA system knowledgebases are based on question-answer pairs.  FAQs are good examples of question-answer pairs; and, CRM question answering system knowledgebases are often based on FAQs.  The difference between a knowledgebase and a database, and between knowledge and data, is metadata enrichment, or annotation.  In this case, answers could be considered a kind of metadata enrichment for questions.

Question-answer pairs can also be used to train machine learning.  Similarly, chat logs – another form of question-answer pairs – can also be fed into machine learning.  In this way, human collective intelligence can be used to train AI; in fact, the new Facebook Mwill use such Mechanical Turk style training to ramp itself up.

See also my quick and dirty webpages:

  • Question-Answer Pairs & Dialog Systems | Meta-Guide.com
  • Question Answering Systems | Meta-Guide.com
  • 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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