An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. (arXiv:2203.05843v1 [cs.CL])

We study the interpretability issue of task-oriented dialogue systems in this
paper. Previously, most neural-based task-oriented dialogue systems employ an
implicit reasoning strategy that makes the model predictions uninterpretable to
humans. To obtain a transparent reasoning process, we introduce neuro-symbolic
to perform explicit reasoning that justifies model decisions by reasoning
chains. Since deriving reasoning chains requires multi-hop reasoning for
task-oriented dialogues, existing neuro-symbolic approaches would induce error
propagation due to the one-phase design. To overcome this, we propose a
two-phase …

arxiv framework neuro reasoning symbolic reasoning