Figure 2 illustrates the overall architecture of the DialKG Walker model which retrieves a set of entities from a provided KG given multiple modalities of dialog contexts.
for each turn the model takes as input a set of KG entities mentioned at its current turn, a full sentence at the current turn, and all sentences from previous turns of dialog, which are encoded using Bi-LSTMs with self-attention modules (Section 2.2).