Patents by Inventor Xuefeng HAO

Xuefeng HAO has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11775776
    Abstract: A method and an apparatus for processing information are provided. The method can include: acquiring a word sequence obtained by performing word segmentation on two paragraphs in a text; inputting the word sequence into a to-be-trained natural language processing model to generate a word vector corresponding to a word in the word sequence; inputting the word vector into a preset processing layer of the to-be-trained natural language processing model; predicting whether the two paragraphs are adjacent, and a replaced word in the two paragraphs; and acquiring reference information of the two paragraphs, and training the to-be-trained natural language processing model to obtain a trained natural language processing model, based on the prediction result and the reference information.
    Type: Grant
    Filed: January 13, 2021
    Date of Patent: October 3, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Shuangjie Li, Miao Yu, Yabing Shi, Xuefeng Hao, Xunchao Song, Ye Jiang, Yang Zhang, Yong Zhu
  • Publication number: 20210216725
    Abstract: A method and an apparatus for processing information are provided. The method can include: acquiring a word sequence obtained by performing word segmentation on two paragraphs in a text; inputting the word sequence into a to-be-trained natural language processing model to generate a word vector corresponding to a word in the word sequence; inputting the word vector into a preset processing layer of the to-be-trained natural language processing model; predicting whether the two paragraphs are adjacent, and a replaced word in the two paragraphs; and acquiring reference information of the two paragraphs, and training the to-be-trained natural language processing model to obtain a trained natural language processing model, based on the prediction result and the reference information.
    Type: Application
    Filed: January 13, 2021
    Publication date: July 15, 2021
    Inventors: Shuangjie LI, Miao YU, Yabing SHI, Xuefeng HAO, Xunchao SONG, Ye JIANG, Yang ZHANG, Yong ZHU