1
Your word
measured
“the devising of plans”
Definitions come from WordNet, a hand-curated dictionary.
the act that results in something coming to be
Panels 3, 4 and 5 are computed per model. Switch to see them disagree.
“the devising of plans”
Definitions come from WordNet, a hand-curated dictionary.
This is the tokenizer splitting text, not the model understanding it.
break is the dictionary opposite of making, yet this model puts it closer than 21 of the 42 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 making, 1 of 8 also appear in the dictionary. 42 of 70 dictionary synonyms are in this build; the rest have no vector to compare yet.
break is the dictionary opposite of making, yet this model puts it closer than 34 of the 42 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 making, 1 of 8 also appear in the dictionary. 42 of 70 dictionary synonyms are in this build; the rest have no vector to compare yet.
break is the dictionary opposite of making, yet this model puts it closer than 33 of the 42 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 making, 1 of 8 also appear in the dictionary. 42 of 70 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 making. 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 making. 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 making. That gap is the model’s own learned association.
These are statistical associations in the training data, not the model thinking.