To make full use of the phrase information, we design an improved version of the standard CNNs, which use multiple filters for different window sizes as well as two max-over-time pooling operations to get the final summary prior representation.
let W 1 t , • • • , W m t be m filters for window sizes from 1 to m, and correspondingly we can obtain m feature maps C 1 , • • • , C m .