Given the simple classification strategy, all models perform relatively well on phrases with negation (all reach nearly 60 F 1 in the binary setting).
while BLSE performs the best on negation in the binary setting (82.9 F 1 ), it has more problems with negation in the 4-class setting (36.9 F 1 ).