公开(公告)号：US20230094730A1

公开(公告)日：2023-03-30

申请号：US18061029

申请日：2022-12-02

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

Inventor： Hongyang Zhang ,  Zhenyu Jiao ,  Shuqi Sun ,  Yue Chang ,  Tingting Li

IPC: G06F40/35 ,  G06F40/186 ,  G06F40/279

Abstract: A model training method, a method and an apparatus for human-machine interaction. The method includes: acquiring a sample set corresponding to a template; constructing positive example pairs and negative example pairs for a contrastive learning task based on the sample set; performing contrastive learning training on a pre-training model based on the positive example pairs and the negative example pairs for the contrastive learning task.

公开(公告)号：US20230089268A1

公开(公告)日：2023-03-23

申请号：US18060692

申请日：2022-12-01

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

Inventor： Hao Li ,  Zhenyu Jiao ,  Shuqi Sun ,  Yue Chang ,  Tingting Li

IPC: G06F40/56 ,  G06F40/35 ,  G06F16/332

Abstract: A semantic understanding method, includes: acquiring a query statement and a preceding dialogue; rewriting the query statement based on a preset rule to generate a target query statement if it is recognized that the query statement meets a rule rewriting condition according to the query statement and the preceding dialogue; rewriting the query statement based on a rewriting model to generate the target query statement if it is recognized that the query statement does not meet the rule rewriting condition according to the query statement and the preceding dialogue; and performing intention recognition according to the target query statement to generate an intention recognition result.