公开(公告)号：US20230004819A1

公开(公告)日：2023-01-05

申请号：US17930221

申请日：2022-09-07

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

Inventor： Yingqi Qu ,  Yuchen Ding ,  Jing Liu ,  Hua Wu ,  Haifeng Wang

IPC: G06N5/00 ,  G06F40/30 ,  G06F16/2457

Abstract: The disclosure provides a method for training a semantic retrieval network, an electronic device and a storage medium. The method includes: obtaining a training sample including a search term and n candidate files corresponding to the search term, where n is an integer greater than 1; inputting the training sample into the ranking model, to obtain n first correlation degrees output by the ranking model, in which each first correlation degree represents a correlation between a candidate document and the search term; inputting the training sample into the semantic retrieval model, to obtain n second correlation degrees output by the semantic retrieval model, wherein each second correlation degree represents a correlation between a candidate document and the search term; and training the semantic retrieval model and the ranking model jointly based on the n first correlation degrees and the n second correlation degrees.

公开(公告)号：US20220391594A1

公开(公告)日：2022-12-08

申请号：US17820768

申请日：2022-08-18

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Haifeng Wang ,  Zhongjun He ,  Hua Wu ,  Zhanyi Liu ,  Zhi Li ,  Xing Wan ,  Jingxuan Zhao ,  Ruiqing Zhang ,  Chuanqiang Zhang ,  Fengtao Huang ,  Shuangshuang Cui ,  Yongzheng Xin

IPC: G06F40/30 ,  G06F40/58 ,  H04N5/278 ,  G06F40/166 ,  G06F40/279 ,  G06N5/02

Abstract: A display method, a method of training a semantic unit detection model, an electronic device, and a storage medium, which relate to a field of artificial intelligence technology, in particular to fields of natural language processing and machine translation technologies. The display method includes: acquiring a language sequence to be displayed; dividing the language sequence to be displayed into a plurality of semantic units with semantics; and converting the plurality of semantic units into subtitles for display one by one.