Not so "primitive" NLP. Watson started with what its team called a "shallow parse" of a sentence using a dependency grammar and then matched the parse to an ont

Not so "primitive" NLP. Watson started with what its team called a "shallow parse" of a sentence using a dependency grammar and then matched the parse to an ontology consisting of good, old fashioned frames [1]. That's not as "advanced" as an LLM but far more reliable. I believe the ontology was indeed implemented in Prolog but I forget the architecture details. ______________ [1] https://en.wikipedia.org/wiki/Frame_(artificial_intelligence) https://en.wikipedia.org/wiki/Frame_(artificial_intelligence...