Before revision:  On the test set, SmBoP obtains an EM score of 60.5 %DIF < , similar to the best published score for a model that does not use database content, which is at 60.6\\%.abstract \sim5x 
After revision:  On the test set, SmBoP obtains an EM score of 60.5 %DIF < , similar to the best published score for a model that does not use database content, which is at 60.6\\%.abstract \sim5x speed-up in training time, compared to a semantic parser that uses autoregressive decoding. SmBoP obtains 71.1 denotation accuracy on Spider, establishing a new state-of-the-art, and 69.5 exact match, comparable to the 69.6 exact match of the autoregressive RAT-SQL+GraPPa.