Oh fun, we’re talking about my advisers’ favorite topic! Yeah, strong natural language is a huge pain and if we had devices that understood human speech well, tech companies would jump on that ASAP.
But here’s the thing. If you want natural language processing, why build a Human 2.0? Why not just build the speech recognition system? It’s making AGI for something like that the equivalent of building a 747 to fly one person across a state? I can see various expert systems coming together as an AGI, but not starting out as such.
It would surprise me if human-level natural-language processing were possible without sitting on top of a fairly sophisticated and robust world-model.
I mean, just as an example, consider how much a system has to know about the world to realize that in your next-to-last sentence, “It’s” is most likely a typo for “Isn’t.”
Granted that one could manually construct and maintain such a model rather than build tools that maintain it automatically based on ongoing observations, but the latter seems like it would pay off over time.
Oh fun, we’re talking about my advisers’ favorite topic! Yeah, strong natural language is a huge pain and if we had devices that understood human speech well, tech companies would jump on that ASAP.
But here’s the thing. If you want natural language processing, why build a Human 2.0? Why not just build the speech recognition system? It’s making AGI for something like that the equivalent of building a 747 to fly one person across a state? I can see various expert systems coming together as an AGI, but not starting out as such.
It would surprise me if human-level natural-language processing were possible without sitting on top of a fairly sophisticated and robust world-model.
I mean, just as an example, consider how much a system has to know about the world to realize that in your next-to-last sentence, “It’s” is most likely a typo for “Isn’t.”
Granted that one could manually construct and maintain such a model rather than build tools that maintain it automatically based on ongoing observations, but the latter seems like it would pay off over time.