In this work, we argue that properly modeling both explicit structures in the output space and the implicit structures in the input space are crucial for building a successful targeted sentiment analysis system.
we propose a new model that captures explicit structures with latent CRF, and uses LSTM and self-attention to capture rich implicit structures in the input space efficiently.