Invention Grant
- Patent Title: Method of training text quality assessment model and method of determining text quality
-
Application No.: US17995283Application Date: 2022-03-22
-
Publication No.: US12283124B2Publication Date: 2025-04-22
- Inventor: Heng Wang , Zhenlei Tian , Tianbao Yu
- Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.
- Applicant Address: CN Beijing
- Assignee: Beijing Baidu Netcom Science Technology Co., Ltd.
- Current Assignee: Beijing Baidu Netcom Science Technology Co., Ltd.
- Current Assignee Address: CN Beijing
- Agency: HSML P.C.
- Priority: CN202110787492.3 20210712
- International Application: PCT/CN2022/082273 WO 20220322
- International Announcement: WO2023/284327 WO 20230119
- Main IPC: G06V30/12
- IPC: G06V30/12 ; G06V30/19

Abstract:
A method of training a text quality assessment model, a method of determining text quality, an electronic device, and a storage medium are provided. The method of training the text quality assessment model includes: determining a first text satisfying a condition of being a negative sample and a second text satisfying a condition of being a positive sample from a plurality of texts based on indicators for the texts; for any text of the first text and the second text, adding a label to the text based on the condition satisfied by the text, wherein the label indicates a category of the text, and the category includes a low-quality category for the negative sample and a non-low-quality category for the positive sample; and constituting a training set by the first text having a label and the second text having a label, to train the text quality assessment model.
Public/Granted literature
- US20240221404A1 METHOD OF TRAINING TEXT QUALITY ASSESSMENT MODEL AND METHOD OF DETERMINING TEXT QUALITY Public/Granted day:2024-07-04
Information query