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You don't need NLU to be fully solved for assistants today which work on narrow range on tasks. For example - modern deep learning techniques can easily mark "S
by neuronDen 7y ago
You don't need NLU to be fully solved for assistants today which work on narrow range on tasks. For example - modern deep learning techniques can easily mark "Send a message to <person> - What are you upto?" and "Check with <person> what he is upto" as similar. Assistants today respond correctly to the first input but not the second.
- streetcat1 7y agoSo I am talking about spoken dialogue system. I.e. system that can converse (I.e. at least 15-20 turns between the user and the system).For example, a system that can book multiple legs flight.
- neuronDen 7y agoMicrosoft acquired Semantic Machines has the capabilities to do so. http://www.semanticmachines.com/ http://www.semanticmachines.com/
- streetcat1 7y agoAs I said. This is a problem from the 80s. Why would it would be solved now? and by a specific startup? what changed?. I think that in order to solve this issue we would need some breakthrough in symbolic AI and not just statistical AI. However, most of the research today is done on DNN and their derivative.