NLP

Estonia's NLP algorithms break down a request into small segments, identify key words, and from that infers what user wants.

But Graham Neubig, an NLP expert at Carnegie Mellon University, notes that the authors did not use state-of-the-art models in their testing or or compare their approach to existing ones.

The USask team went a step further than previous studies and successfully verified that genetic disruption of NLP leads to changes in genes involved in lipid metabolism in mice.

“NLP does have some comprehension to it, like knowing that thunder and rain go together,” Ferreira says.

Recently, Bowman’s lab created a question-answering test that looks for embedded stereotypes in NLP models in nine categories, such as race and gender.