This article shows the use of breakthrough technology in cognitive science to understand English text.
Natural Language Understanding (NLU) is the part of cognitive science interested in how the human brain recognizes any human language. Understanding a language allows us to build machines that we interact with quickly — like any other human who speaks our language — but with the added benefit of being able to instantly access other electronic systems.
For example, to discuss the cost of cancelling an airplane ticket, a human agent may understand your question, but not have access to the answers that lie in some corporate system. Alternatively, a chatbot may not understand what you want, even though it has a direct connection to the system that contains the necessary information. Systems must both understand your request and have access to the tools to deal with it: NLU’s strength.
NLU is experiencing a scientific crisis that has been building since the 1950s where the problem to be solved is no longer taught in the mainstream educational institutions because professors either have specialised in areas that support industry directly or they specialise in how to improve those same areas to directly support industry with minimal change.
