Carnegie Mellon and Google's Brain outfit have tried to undo some of the techniques of Google's BERT machine learning model for natural language processing. They propose a new approach called "XLNet." Built on top of the popular "Transformer" A.I. for language, it may be a more straightforward way to examine how language works.
