Stanford Engineering's Chris Manning explores how computers can interpret human knowledge

http://stanford.io/1pkv9wv: Stanford University School of Engineering's Chris Manning, professor of computer science and linguistics, explains how his lab has been building statistical models of language to extract both facts and nuances from human language communication.

How can computers make use of context for pragmatic interpretation as humans do? How can we get computers to understand and use all this knowledge? Should the goal be to try to formalize this knowledge into more structured forms or would it be to better appreciate the flexibility and power of human language knowledge representations?


Видео Stanford Engineering's Chris Manning explores how computers can interpret human knowledge канала Stanford University School of Engineering