Patent ID: 11966455
Assignee: BOE TECHNOLOGY GROUP CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. The method according to claim 6, wherein the target-text classifying model is obtained by training by using the following steps:
marking the text-to-be-predicted sets with classification labels, to obtain sample text sets;
inputting the sample text sets into an original-text classifying model to be trained, and training, wherein the original-text classifying model comprises at least: a multilayer label pointer network and a multi-label classifying network;
by using the multilayer label pointer network, acquiring a third classification result of the sample text sets, and by using the multi-label classifying network, acquiring a fourth classification result of the sample text sets;
according to the third classification result, the fourth classification result and the classification labels, acquiring a loss value of the original-text classifying model obtained after the training; and
on the condition that the loss value is less than a loss-value threshold, using the original-text classifying model obtained after the training as the target-text classifying model.