4 ms·

Every systems sucks at NLP. It is an extremely hard problem and we are nowhere near matching the human cerebral cortex.

• binarymax 7y ago
  Generally, yes. But you can go very far and cover a lot of cases when you stick to a narrow domain and common patterns that customers of your product will typically use.
  • waynecochran 7y ago
    My reaction to Siri is either amazement at how well it worked or disgust in its failure on seemingly simple queries.
    • binarymax 7y ago
      Siri has lots of known problems. My biggest gripes are the lack of context and lack of a "discussion" state. But Siri is a general domain problem, which is really really hard. Siri set the expectation you can ask it anything, and it works terribly and for most questions just gives up and runs a web search. If you are an e-commerce company though, that's a narrow enough domain, because you know that for most people, they're looking for products to buy or compare. It's not an unbounded Q&A service.
  • huffmsa 7y ago
    Yeah the examples would probably do better if they had a front layer model determining the general topic "clothing" then shipping the query off to the clothing and fashion specific model for details. Lots of focus on a general purpose mono-model, but I think a collection of specialized subsystems is a better representation and would produce better results, faster.