Patent ID: 11967312
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 4:
5. The method according to claim 4, wherein the iteratively updating a semantic representation layer network parameter and a task-related output layer network parameter of the semantic understanding model by using the second training sample set and according to the update parameters of the semantic understanding model comprises:
determining a second noise parameter matching the second training sample set by using the update parameters of the semantic understanding model, the second noise parameter being configured to represent a noise value of a parallel sentence sample in the second training sample set; and
when the second noise parameter reaches a corresponding noise value threshold,
iteratively updating the semantic representation layer network parameter and the task-related output layer network parameter of the semantic understanding model according to the noise value of the second noise parameter, until the loss function corresponding to the task-related output layer network formed by the OOD detector network and the domain classification network of the semantic understanding model meet the corresponding convergence condition.