1
Your word
measured
“he noticed an item in the New York Times”
Definitions come from WordNet, a hand-curated dictionary.
a distinct part that can be specified separately in a group of things that could be enumerated on a list
Panels 3, 4 and 5 are computed per model. Switch to see them disagree.
“he noticed an item in the New York Times”
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 item.
Shade shows how close the model puts each word to item.
Shade shows how close the model puts each word to item, 1 of 8 also appear in the dictionary.
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 item. 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 item. 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 item. That gap is the model’s own learned association.
These are statistical associations in the training data, not the model thinking.