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Ah, you're right, word2vec assigns one vector to each word, as opposed to one vector to each meaning. Then the problem remains: we can't differentiate between homonyms.

But it seems it's been solved, too: https://github.com/sbos/AdaGram.jl



There is also sense2vec which I think tries to do something similar. https://explosion.ai/blog/sense2vec-with-spacy




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