1
Your word
measured
“I missed that remark”
Definitions come from WordNet, a hand-curated dictionary.
fail to perceive or to catch with the senses or the mind
escaparse is Spanish for missing, and every measurement below was made on that English word. Definitions come from English WordNet; Open Multilingual WordNet supplies the Spanish headword, not a Spanish definition.
Panels 3, 4 and 5 are computed per model. Switch to see them disagree.
“I missed that remark”
Definitions come from WordNet, a hand-curated dictionary.
This panel splits escaparse itself, not missing — a tokenizer does not care what language it is fed. It is the only panel here that does.
This is the tokenizer splitting text, not the model understanding it.
hit is the dictionary opposite of missing, yet this model puts it closer than 3 of the 11 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 missing, 1 of 8 also appear in the dictionary. 11 of 14 dictionary synonyms are in this build; the rest have no vector to compare yet.
hit is the dictionary opposite of missing, yet this model puts it closer than 5 of the 11 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 missing, 3 of 8 also appear in the dictionary. 11 of 14 dictionary synonyms are in this build; the rest have no vector to compare yet.
hit is the dictionary opposite of missing, yet this model puts it closer than 6 of the 11 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 missing, 3 of 8 also appear in the dictionary. 11 of 14 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 missing. 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 missing. 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 missing. That gap is the model’s own learned association.
These are statistical associations in the training data, not the model thinking.