公开(公告)号：US20230342667A1

公开(公告)日：2023-10-26

申请号：US18179266

申请日：2023-03-06

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

Inventor： Zenan LIN ,  Huapeng QIN ,  Min ZHAO ,  Guoxin ZHANG ,  Yajuan LV

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A semantic classification model training method includes that a sample query template and a label category of at least one category to be predicted in the sample query template are acquired, where the sample query template is constructed according to a sample query statement and a number of the at least one category to be predicted; the sample query template is input to the pre-constructed semantic classification model to obtain a sample semantic category of the at least one category to be predicted; and the semantic classification model is trained according to the sample semantic category and the label category of the at least one category to be predicted.