Introduction by Dr Mark King, Associate Professor and Director, Educational Delivery Services, Office of the Pro Vice-Chancellor (Education)
The human brain makes human language possible. For this reason, brain science should hold the key to natural language understanding (NLU). A new hypothesis about the brain has led to the development of a new approach to NLU, based on pattern matching using a hierarchical, bidirectional model. This approach directly addresses the key issue: ambiguity. This talk will cover the history of the AI problem for language, explain the use of Role and Reference Grammar in the NLU system, and show how it applies to various problems related to NLU, e.g. conversation for digital assistants, translation, natural language generation, and context tracking.
About John Ball
John Ball is the founder & CTO of Pat Inc., a UNSW Alumnus (1989) and cognitive scientist. His focus is on machine intelligence and solving the open scientific problem of Natural Language Understanding (NLU). He is also the inventor of Patom Theory - the theory of how a brain approaches language, applied to a computer.
This event is being hosted by LITEroom Immersive Technologies, Luis (Carlos) Dominguez, Educational Design and Development, Educational Delivery Services, Office of the PVC (Education).
Civil Engineering Building Room 109