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    Method for fusing map data, and electronic device
    2.
    发明授权
    Method for fusing map data, and electronic device 有权

    公开(公告)号：US12299789B2

    公开(公告)日：2025-05-13

    申请号：US18087639

    申请日：2022-12-22

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

    Inventor： Boyan Xu ,  Lele Jia

    IPC: G06T11/60

    Abstract: A method for fusing map data, includes: obtaining two-dimensional map data and three-dimensional map data to be fused; classifying the three-dimensional map data according to map data types, the map data types including line data, surface data, and traffic body data; performing elevation conversion for each type of three-dimensional map data according to an elevation conversion algorithm preset for each type of three-dimensional map data, to obtain a relative elevation of each type of three-dimensional map data; and fusing the two-dimensional map data and three-dimensional map data to be fused based on the relative elevation of each type of three-dimensional map data, to obtain fused data.

    Model training method, electronic device, and storage medium
    3.
    发明授权
    Model training method, electronic device, and storage medium 有权

    公开(公告)号：US12299407B2

    公开(公告)日：2025-05-13

    申请号：US17896690

    申请日：2022-08-26

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

    Inventor： Huihui He ,  Leyi Wang ,  Duohao Qin ,  Minghao Liu

    IPC: G06F40/47 ,  G06F40/151 ,  G06F40/166 ,  G06F40/295 ,  G06F40/30

    Abstract: The present disclosure provides a model training method and apparatus, an electronic device, and a storage medium, and relates to the field of artificial intelligence, in particular, to the field of natural language processing and deep learning. A specific implementation solution includes: constructing initial training corpora; performing data enhancement on the initial training corpora based on an algorithm contained in a target algorithm set to obtain target training corpora, wherein the target algorithm set is determined from multiple algorithm sets, and different algorithm sets are used for performing data enhancement on corpora with different granularity in the initial training corpora; and performing training on a language model based on the target training corpora to obtain a sequence labeling model, herein the language model is pre-trained based on text corpora.

    Method of training text quality assessment model and method of determining text quality
    6.
    发明授权
    Method of training text quality assessment model and method of determining text quality 有权

    公开(公告)号：US12283124B2

    公开(公告)日：2025-04-22

    申请号：US17995283

    申请日：2022-03-22

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

    Inventor： Heng Wang ,  Zhenlei Tian ,  Tianbao Yu

    IPC: G06V30/12 ,  G06V30/19

    Abstract: A method of training a text quality assessment model, a method of determining text quality, an electronic device, and a storage medium are provided. The method of training the text quality assessment model includes: determining a first text satisfying a condition of being a negative sample and a second text satisfying a condition of being a positive sample from a plurality of texts based on indicators for the texts; for any text of the first text and the second text, adding a label to the text based on the condition satisfied by the text, wherein the label indicates a category of the text, and the category includes a low-quality category for the negative sample and a non-low-quality category for the positive sample; and constituting a training set by the first text having a label and the second text having a label, to train the text quality assessment model.

    Method of training model, method of determining word vector, device, medium, and product
    9.
    发明授权
    Method of training model, method of determining word vector, device, medium, and product 有权

    公开(公告)号：US12277397B2

    公开(公告)日：2025-04-15

    申请号：US17564369

    申请日：2021-12-29

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

    Inventor： Chao Ma ,  Jingshuai Zhang ,  Qifan Huang ,  Kaichun Yao ,  Peng Wang ,  Hengshu Zhu

    IPC: G06F40/40 ,  G06F40/30 ,  G06N7/01

    Abstract: A method of training a model, a method of determining a word vector, a device, a medium, and a product are provided, which may be applied to fields of natural language processing, information processing, etc. The method includes: acquiring a first word vector set corresponding to a first word set; and generating a reduced-dimensional word vector for each word vector in the first word vector set based on a word embedding model, generating, for other word vector in the first word vector set, a first probability distribution in the first word vector set based on the reduced-dimensional word vector, and adjusting a parameter of the word embedding model so as to minimize a difference between the first probability distribution and a second probability distribution for the other word vector determined by a number of word vector in the first word vector set.

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