[_t89y]

That's a really interesting thing to point out. NLP doesn't even work on language anymore. If it was adjacent to information retrieval before it is now a subfield of information retrieval. As long as it's grounded in Firth Mode natural language understanding, as it's called, can't really be a semantics.

I tried to create a Kaggle (TensorFlow Hub, TensorFlow Quantum) competition for motivating alternative formalisms but was unable to publish it because all Kaggle competitions must be evaluated with information retrieval metrics. Talk about a one-track mindset!

Today work in NLP advances by ``leaderboards'' and dubious, language-specific evaluation datasets that the same authors stand to benefit from when their proprietary model is praised for doing well on the evaluation criteria they invented a few months back. It validates the price hike for access to their proprietary models.

These formalisms that do work are at odds with Firth Mode, the preferred representation for Google (Stanford, OpenAI), so I guess we should be thankful they're still in the book. If you're interested in language, though, I'd suggest picking up a different book.