An end-to-end method based on sequence labeling while making full use of ontology knowledge to enhance the ability of named entity recognition to complete dialogue state tracking is proposed. On the one hand, this method uses a named entity recognition pointer to label the ontology knowledge information contained in the dialogue history based on the sequence labeling method and effectively uses the slot value to enhance the named entity recognition ability of the ontology set. On the other hand, the pointer network is used to retain the ability of the new slot value recognition. The experimental results show that the method proposed in this paper improves the ability of named entity recognition by 1.2% compared with the existing model, and retains the advantages of new slot recognition scalability.

dialogue state tracking; pointer network; named entity recognition; deep learning