Combining with a knowledge graph propagation model based on word/slot relations, the trained SLU model estimates the probability that each semantic slot occurs in the testing utterance, and how likely each slot is domain-specific simultaneously.
the SLU model is able to transform the testing utterances into domain-specific semantic representations without human involvement.