公开(公告)号：US12093297B2

公开(公告)日：2024-09-17

申请号：US17577561

申请日：2022-01-18

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Wenhao Wu ,  Wei Li ,  Xinyan Xiao ,  Jiachen Liu

IPC: G06F40/56 ,  G06F16/34 ,  G06F40/51

CPC classification number: G06F16/345 ,  G06F40/51 ,  G06F40/56

Abstract: The present disclosure provides a summary generation model training method and apparatus, a device and a storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence such as natural language processing and deep learning. The summary generation model training method includes: acquiring a document representation corresponding to a document sample; constructing, based on the document representation, a summary representation corresponding to the document representation, the summary representation including a positive summary representation and a negative summary representation; and constructing a total contrastive loss function based on the document representation, the positive summary representation and the negative summary representation, and training a summary generation model based on the total contrastive loss function. The present disclosure may improve accuracy of the summary generation model.