1
Your word
measured
Definitions come from WordNet, a hand-curated dictionary.
an English pirate who operated in the Caribbean and off the Atlantic coast of North America (died in 1718)
Panels 3, 4 and 5 are computed per model. Switch to see them disagree.
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 teach, 1 of 8 also appear in the dictionary. 2 of 6 dictionary synonyms are in this build; the rest have no vector to compare yet.
Shade shows how close the model puts each word to teach, 1 of 8 also appear in the dictionary. 2 of 6 dictionary synonyms are in this build; the rest have no vector to compare yet.
Shade shows how close the model puts each word to teach, 1 of 8 also appear in the dictionary. 2 of 6 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 teach. 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 teach. 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 teach. That gap is the model’s own learned association.
These are statistical associations in the training data, not the model thinking.