Furthermore, we propose an approach, which embeds a global attention and symptom graph to improve the performance of dialogue symptom diagnosis.
the global attention aims at incorporating more related information from the whole dialogue and corpus for better symptom entity representation, which will be used for symptom recognition and inference.