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Show HN: Semantic Calculator (king-man+woman=?)

(calc.datova.ai)
176 points nxa | 1 comments | 14 May 25 19:54 UTC | HN request time: 0.206s | source

I've been playing with embeddings and wanted to try out what results the embedding layer will produce based on just word-by-word input and addition / subtraction, beyond what many videos / papers mention (like the obvious king-man+woman=queen). So I built something that doesn't just give the first answer, but ranks the matches based on distance / cosine symmetry. I polished it a bit so that others can try it out, too.

For now, I only have nouns (and some proper nouns) in the dataset, and pick the most common interpretation among the homographs. Also, it's case sensitive.

1. ignat_244639 ◴[15 May 25 10:46 UTC] No.43993647[source]▶
Huh, that's strange, I wanted to check whether your embeddings have biases, but I cannot use "white" word at all. So I cannot get answer to "man - white + black = ?".

But if I assume the biased answer and rearrange the operands, I get "man - criminal + black = white". Which clearly shows, how biased your embeddings are!

Funny thing, fixing biases and ways to circumvent the fixes (while keeping good UX) might be much challenging task :)