Method of detecting text, training method, apparatus, device, medium, and program product

A method of training a model, the method comprising:

• processing, in response to a confidence level of a first sample detection result being less than a predetermined threshold, a sample text pair and a sample label by using an initial model to obtain a second sample detection result, wherein the confidence level of the first sample detection result is obtained by detecting the sample text pair using a first model, the sample text pair comprises a sample query text and a sample answer text corresponding to the sample query text, the second sample detection result comprises a discrimination result configured to characterize a response matching degree between the sample answer text and the sample query text, and a discrimination reason corresponding to the discrimination result, the sample label comprises a discrimination result label and a discrimination reason label, and a type of the initial model is different from a type of the first model;
• obtaining a first loss value according to the second sample detection result and the sample label based on a first loss function;
• and
• adjusting a model parameter of the initial model based on the first loss value to obtain a trained target model.