DETERMINING THE SIMILARITY OF TEXT PROCESSING TASKS

    公开(公告)号:US20240411979A1

    公开(公告)日:2024-12-12

    申请号:US18749479

    申请日:2024-06-20

    Abstract: A method, apparatus, device, and medium for determining the similarity of text processing tasks is provided. The method includes: determining a first task, a second task, and a neural network, the neural network includes a plurality of network modules and a plurality of importance coefficients corresponding to the plurality of network modules, and the importance coefficients are used to scale output values of a corresponding network module; respectively performing a target operation using the first task and the second task as a target task to obtain an embedding feature of the first task and an embedding feature of the second task; and determining the task similarity between the first task and the second task based on the embedding features. The target operation includes: training using text samples and obtaining a plurality of trained importance coefficients; and determining an embedding feature of the target task based on trained importance coefficients.

    SENTIMENT PARSING METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230274088A1

    公开(公告)日:2023-08-31

    申请号:US17942116

    申请日:2022-09-10

    CPC classification number: G06F40/211

    Abstract: There is provided a sentiment parsing method and apparatus, an electronic device, and a storage medium, which relates to the technical field of artificial intelligence such as machine learning and natural language processing. A specific implementation solution involves: identifying a role of a sentiment parsing object in a specified statement; trimming the specified statement based on the role of the sentiment parsing object to acquire pruning result information after the trimming; and parsing sentiment of the sentiment parsing object in the specified statement based on the pruning result information.

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