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Your word
measured
“her mood changes in accordance with the weather”
Definitions come from WordNet, a hand-curated dictionary.
become different in some particular way, without permanently losing one's or its former characteristics or essence
Panels 3, 4 and 5 are computed per model. Switch to see them disagree.
“her mood changes in accordance with the weather”
Definitions come from WordNet, a hand-curated dictionary.
This is the tokenizer splitting text, not the model understanding it.
Shade shows how close the model puts each word to vary. 5 of 7 dictionary synonyms are in this build; the rest have no vector to compare yet.
conform is the dictionary opposite of vary, yet this model puts it closer than 2 of the 5 synonyms it can score. Opposites share the sentences a word lives in, so cosine alone cannot tell them apart - which is why the dictionary seeds this list rather than the geometry.
Shade shows how close the model puts each word to vary. 5 of 7 dictionary synonyms are in this build; the rest have no vector to compare yet.
conform is the dictionary opposite of vary, yet this model puts it closer than 1 of the 5 synonyms it can score. Opposites share the sentences a word lives in, so cosine alone cannot tell them apart - which is why the dictionary seeds this list rather than the geometry.
Shade shows how close the model puts each word to vary. 5 of 7 dictionary synonyms are in this build; the rest have no vector to compare yet.
Model neighbours are distributional, not dictionary synonyms. Two words can be close because they appear in similar sentences, which is why an antonym can outscore a synonym here.
Scores are projections onto axes we defined from anchor words, not labels the model assigns.
These sit just outside the closest neighbours in panel 3, and no dictionary lists any of them as related to vary. That gap is the model’s own learned association.
These sit just outside the closest neighbours in panel 3, and no dictionary lists any of them as related to vary. That gap is the model’s own learned association.
These sit just outside the closest neighbours in panel 3, and no dictionary lists any of them as related to vary. That gap is the model’s own learned association.
These are statistical associations in the training data, not the model thinking.