Interactive method and device of robot, and device

    公开(公告)号:US11551673B2

    公开(公告)日:2023-01-10

    申请号:US16396142

    申请日:2019-04-26

    Inventor: Jun Dai Ying Liu

    Abstract: Embodiments of the present disclosure provide an interactive method of a robot, an interactive device of a robot and a device. The method includes: obtaining voice information input by an interactive object, and performing semantic recognition on the voice information to obtain a conversation intention; obtaining feedback information corresponding to the conversation intention based on a conversation scenario knowledge base pre-configured by a simulated user; and converting the feedback information into a voice of the simulated user, and playing the voice to the interactive object.

    METHOD, APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM FOR TRAINING SEMANTIC SIMILARITY MODEL

    公开(公告)号:US20230004753A9

    公开(公告)日:2023-01-05

    申请号:US17209051

    申请日:2021-03-22

    Inventor: Zhen Li Yukun Li Yu Sun

    Abstract: The present disclosure provides a method, apparatus, electronic device and storage medium for training a semantic similarity model, which relates to the field of artificial intelligence. A specific implementation solution is as follows: obtaining a target field to be used by a semantic similarity model to be trained; calculating respective correlations between the target field and application fields corresponding to each of training datasets in known multiple training datasets; training the semantic similarity model with the training datasets in turn, according to the respective correlations between the target field and the application fields corresponding to each of the training datasets. According to the technical solution of the present disclosure, it is possible to, in the fine-tuning phase, more purposefully train the semantic similarity model with the training datasets with reference to the correlations between the target field and the application fields corresponding to the training datasets, thereby effectively improving the learning capability of the sematic similarity model and effectively improving the accuracy of the trained semantic similarity model.

    Method for translating image and method for training image translation model

    公开(公告)号:US11526971B2

    公开(公告)日:2022-12-13

    申请号:US17107196

    申请日:2020-11-30

    Abstract: The present disclosure provides a computer-implemented method for translating an image and a computer-implemented method for training an image translation model. In the computer-implemented method for translating an image, an image translation request carrying an original image is obtained. The original image is processed to generate a pre-translated image, a mask image and a deformation parameter. The original image is deformed based on the deformation parameter to obtain a deformed image. The deformed image, the pre-translated image and the mask image are merged to generate a target translated image.

    Method and apparatus for error correction of numerical contents in text, and storage medium

    公开(公告)号:US11526657B2

    公开(公告)日:2022-12-13

    申请号:US17375225

    申请日:2021-07-14

    Abstract: This application discloses a method, an apparatus and an electronic device for error correction of numerical contents in a text, and relates to a technology field of artificial intelligence such as natural language processing and deep learning. The implementation method is: obtaining a target text to be processed; determining original numerical contents included in the target text; determining target types corresponding to the original numerical contents; and performing error correction on each original numerical content according to an error correction manner corresponding to each target type. Therefore, the error correction of numerical contents is realized according to types of the numerical contents, which is not only limited to the error correction of the numerical format, but also the logical error correction of the numerical content, so as to improve the numerical error correction capability and thereby improving the recall rate of detection and correction of wrong values.

    Point cloud data processing method, apparatus, electronic device and computer readable storage medium

    公开(公告)号:US11521370B2

    公开(公告)日:2022-12-06

    申请号:US17184363

    申请日:2021-02-24

    Abstract: The present disclosure provides a point cloud data processing method, apparatus, electronic device and computer readable storage medium, which relates to computer vision technology and may be used for autonomous driving. A specific implementation solution is as follows: obtaining a first feature vector of each point in first point cloud data, and determining at least one first key point in the points in the first point cloud data according to the first feature vectors of respective points; according to the and a preset first conversion parameter between second point cloud data and the first point cloud data, obtaining second key points of the second point cloud data corresponding to the first key points in the at least one first key point, as candidate matching points; according to the first point cloud data, the second point cloud data and a preset search radius, determining at least one first neighboring point of the and at least one second neighboring point of the candidate matching point corresponding to the at least one first key point; determining a matching point with which the at least one first key point is registered, according to the at least one first neighboring point of the at least one first key point and the at least one second neighboring point of the candidate matching points.

    Method and apparatus for generating training data for VQA system, and medium

    公开(公告)号:US11521118B2

    公开(公告)日:2022-12-06

    申请号:US16534036

    申请日:2019-08-07

    Abstract: Embodiments of the present disclosure are directed to a method and an apparatus for generating training data for a visual question answering (VQA) system, and a computer readable medium. The method for generating training data for a visual question answering system includes: obtaining a first set of training data of the visual question answering system, the first set of training data comprising a first question for an image in the visual question answering system and a first answer corresponding to the first question; obtaining information related to the image; generating a second question corresponding to the first answer based on the information to obtain a second set of training data for the image in the visual question answering system, the second set of training data comprising the second question and the first answer.

    Code reuse processing method, apparatus and electronic device

    公开(公告)号:US11520567B2

    公开(公告)日:2022-12-06

    申请号:US17204087

    申请日:2021-03-17

    Abstract: A code reuse processing method, apparatus and electronic device related to a software development technology in the technical field of computers. The method includes: receiving a target request sent by a client of a target unit; in response to the target request, determining a first code line quantity per capita submitted within a target unit time and a reuse code base of the target unit used by a first code base in a dependency manner, the first code base is a code base except the reuse code base; determining reference information configured to indicate an amount of labor capable of being saved for the target unit when the target unit performs a code reuse within a target duration, the reference information based on the first code line quantity, a code line quantity of the reuse code base and a preset reuse proportion; and outputting the reference information to the client.

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