Semantic axis

A feature that makes neural Continuous embedding powerful is the fact that often we can identify semantic axis in the embedding space.

An2018SemAxis proposed SemAxis. Kozlowski2019geometry showed that the semantic axis in Word embedding space roughly corresponds to what people perceives (through surveys).

• Grand2022semantic

Are semantic axes linear? They don’t have to be.