Open aishniparab opened 1 year ago
Suppose the model predicts a synonym for metal, e.g. "shiny", how does the program executor map shiny to what it is really supposed to mean, i.e. metal?
In NSCL we did not explicitly handle synonyms; they will be learned as separate concepts (they could have different embeddings)
Suppose the model predicts a synonym for metal, e.g. "shiny", how does the program executor map shiny to what it is really supposed to mean, i.e. metal?