The paper proposes TG-DRG and GA-DRG, two graph-augmented frameworks that combine coreference resolution, knowledge selection, and graph encoding to improve factuality of dialogue responses, evaluated with a newly proposed Dialogue Fact Score.
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Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation
The paper proposes TG-DRG and GA-DRG, two graph-augmented frameworks that combine coreference resolution, knowledge selection, and graph encoding to improve factuality of dialogue responses, evaluated with a newly proposed Dialogue Fact Score.