Based on the deep transition Gated Recurrent Unit (GRU) Pascanu et al., 2014;Miceli Barone et al., 2017;Meng and Zhang, 2019), an aspect-guided GRU encoder is thus proposed, which utilizes the given aspect to guide the sentence encoding procedure at the very beginning stage.
we specially design an aspect-gate for the deep transition GRU to control the information flow of each token input, with the aim of guiding feature selection and extraction from scratch, i.e.