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:  A neural network is designed to maximize the similarity between the embedding of the three input (local context words, section and structural contexts) and the target citation appearing in the context. 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 .