Furthermore, our network can be considered as an 'inner' adaptation of neural attention, modeling intra-sentence relationships between the raw word representations instead of representations that have been compositionally manipulated.
where W f ∈ R d×2 , b f ∈ R 2 are the parameters of this layer.ŷ ∈ R 2 is the output layer of our proposed model.