13

Fig. 1. The frameworks of training methods.

architecture in order to make it more compatible with input and learn a better representation. For
example, Huang et al. [74] and Cao et al. [19] propose a dual encoder, consisting of a sequential
document encoder and a structured graph encoder to deal with the additional knowledge.
SurveyofHallucinationinNatural Language Generation