New direction for NLP?

I'm seeing that NLP models calculate word embeddings in relationship to each other, which makes each given model kind of parrot the material on which it was trained.

Yes, the king - man + woman = queen example is always cool, but wouldn't it be even cooler to type in "apple, banana", returning "fruits"? Or "list all known fruits"...

Google returns websites that list fruits, but then some are overlapping and incomplete.

Anyone any thoughts about the first steps for …

languagetechnology nlp