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Why can’t we use natural language as our representation language in AI?

Posted on 2015/03/312016/09/15 by mendicott

Why can’t we use natural language as our representation language in AI?

What you are describing is Unsupervised feature learning, which is a characteristic of Deep learning. Supervised feature learning involves learning features from labeled data.  Labeled data is referred to as Metadata, or data about data.  Whereas, unsupervised feature learning involves learning features from unlabeled data.  According to Wikipedia,one of the promises of deep learning is replacing handcrafted features with efficient algorithms for unsupervised or semi-supervised feature learning and hierarchical feature extraction.

See also my recent Quora answers to:

  • How do I make a program that understands what the given data means?
  • Is FOPC the best way to represent English for all NLP operations?
  • 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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