公开(公告)号：US20240232245A1

公开(公告)日：2024-07-11

申请号：US18558157

申请日：2022-08-16

Applicant: Beijing Youzhuju Network Technology Co., Ltd.

Inventor： Jiaze Chen ,  Zhiyuan Zeng

IPC: G06F16/35 ,  G06F16/383

CPC classification number: G06F16/353 ,  G06F16/383

Abstract: A method of consistency detection of a document and an abstract is proposed. The method includes determining a first sample and first annotation information, the first annotation information indicating that a first abstract and a first document included in the first sample are inconsistent, at least one of a plurality of text elements in the first abstract being labeled as inconsistent with the first document; generating a first adversarial sample by applying interference information to the first sample, the interference information being applied to the first sample and other text elements in the first abstract except for the at least one text element; and training, at least based on the first sample, the first adversarial sample, and the first annotation information, a consistency detection model according to a training objective. The obtained trained model can better detect and track a part of the abstract that are inconsistent with the document.