Different from previous work where models use complex architectures such as hierarchical LSTMs (Chen et al., 2016;Zhu and Yang, 2017) and external memory networks (Dou, 2017;Long et al., 2018), we aim to achieve improvements by only modifying how we represent and inject attributes.
we use a simple classifier as our base model, which consists of four parts explained briefly as follows.