In this paper, we focus on designing a review generation model that is able to leverage both user and item information as well as auxiliary, textual input and aspect-aware knowledge.
we study the task of expanding short phrases into complete, coherent reviews that accurately reflect the opinions and knowledge learned from those phrases.