Interesting. Took me way too long to realize that "close" is measured semantically, not lexically. A good strategy is to go up and down the ladder of abstraction, e.g. if "car" is close, try "engine" and "vehicle."
The semantic similarity is not always sensible, either. The underlying model needs some work.
(spoilers for today below)
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These are some of my guesses for today, in order of similarity:
kilometer 3501
authority 3149
tomato 2960
exercise 2357
fruit 2008
healthy 1715
run 972
input 927
power 909
foot 598
meter 300
control 159
Ugh! I feel like I'm blindly stumbling around a maze of puns, or a Saturday NY Times crossword full of eye-rolling clues. It just feels like unsystematic guessing at what the semantic similarity model might contain.
Since I had the same issue while looking at the app for a minute, and your comment resolved it in 3 seconds, I would argue the explanation could be better. Thanks.
(spoilers for today below)
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These are some of my guesses for today, in order of similarity:
Ugh! I feel like I'm blindly stumbling around a maze of puns, or a Saturday NY Times crossword full of eye-rolling clues. It just feels like unsystematic guessing at what the semantic similarity model might contain.