Before revision:   The core of the proposed model is composed of self-attention and additive attention, where the former aims to capture the relatedness between input information , and the latter aims to learn the importance of inputs .
After revision:  The core of the neural network is composed of self-attention and additive attention, where the former aims to capture the relatedness between input information , and the latter aims to learn the importance of inputs .