In this paper, we propose a novel QA model based on text enhanced knowledge graph, which enriches entity representation by text semantic information and complements the relations in KB through structural information of the text.
the model firstly encodes entities in KB combining text information and applies graph convolutional networks (GCN) (Wu et al., 2020) to reason across KB.