Considering how much time is spent here on this subject, I’m surprised at how little reference to distributional semantics is made. It’s already a half-century long tradition of analyzing word meanings via statistics and vector spaces. It may be worthwhile to reach into that field to bolster and clarify some of these things that come up over and over.
Thanks for the pointer! I’ve played with word2vec and similar packages before, but had never thought to explore how those algorithms connect with the content of “A Human’s Guide to Words”.