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.

公开(公告)号：US12265790B2

公开(公告)日：2025-04-01

申请号：US18053034

申请日：2022-11-07

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

Inventor： Ruiqing Zhang ,  Zhongjun He ,  Hua Wu

IPC: G06F40/279 ,  G06F40/166

Abstract: Disclosed are a method for correcting a text, an electronic device and a storage medium. The method includes: acquiring a text to be corrected; acquiring a phonetic symbol sequence of the text to be corrected; and obtaining a corrected text by inputting the text to be corrected and the phonetic symbol sequence into a text correction model, in which, the text correction model obtains the corrected text by: detecting an error word in the text to be corrected, determining a phonetic symbol corresponding to the error word in the phonetic symbol sequence, and adding the phonetic feature corresponding to the phonetic symbol behind the error word to obtain a phonetic symbol text, and correcting the error word and the phonetic feature in the phonetic symbol text to obtain the corrected text.

公开(公告)号：US20250094722A1

公开(公告)日：2025-03-20

申请号：US18968920

申请日：2024-12-04

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

Inventor： Dai DAI ,  Hua Wu ,  Gangqiang Hu

IPC: G06F40/30

Abstract: An annotation method for a large language model, an electronic device, and a medium are provided. The method may include: obtaining a plurality of response texts that are generated by a large language model for a request text and that meet a difference requirement; obtaining a plurality of scores corresponding to the plurality of response texts, where each of the plurality of scores indicates a degree to which a corresponding response text in the plurality of response texts matches the request text; and obtaining an annotated text for at least one of the plurality of response texts based on the plurality of scores, where the annotated text is used to adjust a parameter of the large language model.

公开(公告)号：US12131728B2

公开(公告)日：2024-10-29

申请号：US17828773

申请日：2022-05-31

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

Inventor： Siyu Ding ,  Chao Pang ,  Shuohuan Wang ,  Yanbin Zhao ,  Junyuan Shang ,  Yu Sun ,  Shikun Feng ,  Hao Tian ,  Hua Wu ,  Haifeng Wang

IPC: G10L15/00 ,  G10L15/02 ,  G10L15/06 ,  G10L15/18

CPC classification number: G10L15/063 ,  G10L15/02 ,  G10L15/18

Abstract: The present application provides a method of training a natural language processing model, which relates to a field of artificial intelligence, and in particular to a field of natural language processing. A specific implementation scheme includes: performing a semantic learning for multi-tasks on an input text, so as to obtain a semantic feature for the multi-tasks, wherein the multi-tasks include a plurality of branch tasks; performing a feature learning for each branch task based on the semantic feature, so as to obtain a first output result for each branch task; calculating a loss for each branch task according to the first output result for the branch task; and adjusting a parameter of the natural language processing model according to the loss for each branch task. The present application further provides a method of processing a natural language, an electronic device, and a storage medium.

公开(公告)号：US12019990B2

公开(公告)日：2024-06-25

申请号：US17124030

申请日：2020-12-16

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

Inventor： Haifeng Wang ,  Wenbin Jiang ,  Yajuan Lv ,  Yong Zhu ,  Hua Wu

IPC: G06N20/00 ,  G06F18/214 ,  G06F18/2413 ,  G06F40/279 ,  G06F40/30 ,  G06N5/022

CPC classification number: G06F40/30 ,  G06F18/214 ,  G06F18/24147 ,  G06F40/279 ,  G06N5/022

Abstract: The present application discloses a text processing method and device based on natural language processing and a knowledge graph, and relates to the in-depth field of artificial intelligence technology. A specific implementation is: an electronic device uses a joint learning model to obtain a semantic representation, which is obtained by the joint learning model by combining knowledge graph representation learning and natural language representation learning, it combines a knowledge graph representation learning and a natural language representation learning, compared to using only the knowledge graph representation learning or the natural language representation learning to learn semantic representation of a prediction object, factors considered by the joint learning model are more in quantity and comprehensiveness, so accuracy of semantic representation can be improved, and thus accuracy of text processing can be improved.