Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs. (arXiv:2206.07296v1 [cs.CL])

Web: http://arxiv.org/abs/2206.07296

Providing conversation models with background knowledge has been shown to
make open-domain dialogues more informative and engaging. Existing models treat
knowledge selection as a sentence ranking or classification problem where each
sentence is handled individually, ignoring the internal semantic connection
among sentences in the background document. In this work, we propose to
automatically convert the background knowledge documents into document semantic
graphs and then perform knowledge selection over such graphs. Our document
semantic graphs preserve sentence-level information through the use …

arxiv graphs knowledge semantic