“compilers must parse source code in order to translate it into object code”
Definitions come from WordNet, a hand-curated dictionary.
a computer program that divides code up into functional components
Panels 3, 4 and 5 are computed per model. Switch to see them disagree.
“compilers must parse source code in order to translate it into object code”
Definitions come from WordNet, a hand-curated dictionary.
This is the tokenizer splitting text, not the model understanding it.
WordNet lists none for this word.
Shade shows how close the model puts each word to parser.
WordNet lists none for this word.
Shade shows how close the model puts each word to parser.
WordNet lists none for this word.
Shade shows how close the model puts each word to parser.
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 parser. 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 parser. 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 parser. That gap is the model’s own learned association.
These are statistical associations in the training data, not the model thinking.