When the kernel sizes are set to 1, 2 and 3, CNN layers can extract uni-gram, bi-gram and tri-gram features that enable SAC to learn a considerable number of samples that exhibit the same structure as "Time of London."
sAC reduces truncation errors for long entities caused by lowercase words.