The application belongs to the technical field of
artificial intelligence, and discloses a standard response
knowledge unit generation method, device, equipment and storage medium. The
processing method comprises the following steps: inputting unstructured documents and historical interaction records of a business field into an initial generation model to obtain a standard response
knowledge unit set; submitting the standard response
knowledge unit set to a man-
machine collaborative quality inspection interface to output structured defect annotations of the unit; forming an optimization sample pair of the standard response knowledge unit and the corresponding correct content of the structured defect
annotation to form a model optimization
data set; incrementally training the initial generation model based on the model optimization
data set to obtain an optimized generation model; and iteratively optimizing the optimized generation model based on the
annotation data until the optimized generation model meets a preset standard. The application can be applied to financial technology,
medical health and other
business management systems, and solves the technical problems of poor generation quality and low generation efficiency of question and answer dialogue sample pairs.