We use the BOW loss proposed by , to ensure the accuracy of the fused knowledge k c by enforcing the relevancy between the knowledge and the true response.
let w = MLP(k c ) ∈ R |V | , where |V | is the vocabulary size and we define: Then, the BOW loss is defined to minimize: In summary, the final loss of our generative model is: 5 Experiments Our proposed models are tested under two settings: 1) automatic evaluation and 2) human evaluation.