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公开(公告)号：US11854422B2
公开(公告)日：2023-12-26
申请号：US17888258
申请日：2022-08-15
Inventor： Haoran Huang , Xi Luo , Fuxiang Li , Hang Li
Abstract: A method and a device for information interaction. The method comprises: in response to receiving an oral practice request initiated by a user, outputting task information for indicating a target oral practice task (201), wherein the task information corresponds to task intention information and task keyword information; acquiring voice information inputted by the user with regard to the task information (202); recognizing the voice information, so as to determine user intention information and user keyword information corresponding to the user (203); generating a matching result for indicating whether the user has completed the target oral practice task (204), wherein the matching result is obtained by the following step: respectively matching the user intention information with the task intention information, and the user keyword information with the task keyword information, so as to obtain the matching result; and presenting the matching result to the user (205).
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公开(公告)号：US11669679B2
公开(公告)日：2023-06-06
申请号：US17819550
申请日：2022-08-12
Inventor： Hang Li , Chao Qiao , Hayate Iso
IPC: G06F40/166 , G06F16/35 , G06F40/103
CPC classification number: G06F40/166 , G06F16/355 , G06F40/103
Abstract: Embodiments of the present disclosure disclose a text sequence generating method and apparatus, a device and a medium. The method includes: obtaining an initial text sequence, extracting an initial text feature from the initial text sequence; obtaining a structured text sequence, and extracting a structured feature from the structured text sequence, where the structured text sequence is associated with a fact in the initial text sequence; and fusing and generating a target text sequence based on the initial text feature and the structured feature.
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公开(公告)号：US11776535B2
公开(公告)日：2023-10-03
申请号：US17885965
申请日：2022-08-11
IPC: G10L15/18 , G10L15/183
CPC classification number: G10L15/1815 , G10L15/183
Abstract: A semantic understanding method and apparatus, and a device and a storage medium are provided. The method includes: acquiring a recognition character string that matches speech information; acquiring, from an entity vocabulary library, at least one entity vocabulary respectively corresponding to each recognition character in the recognition character string; and according to a situation of each entity vocabulary hitting the recognition character string, determining a matching entity vocabulary as a semantic understanding result of the speech information. By means of the method, insofar as a completely matching entity vocabulary is not acquired, a matching entity vocabulary can still be determined according to an entity vocabulary library, and semantic information of speech is thus accurately understood; and the method also has relatively high fault tolerance for situations such as wrong words, added words, and omitted words, such that the semantic understanding accuracy of speech information is improved.
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公开(公告)号：US20210026860A1
公开(公告)日：2021-01-28
申请号：US16980897
申请日：2018-09-07
IPC: G06F16/2457 , G06F16/248 , G06N5/00 , G06F17/18
Abstract: The embodiment of the present application discloses a method and a device for generating a ranking model. A specific embodiment of the method includes: acquiring a sample set, executing following training steps: for the samples in the sample set, inputting the query information, the first position document and the second position document in the sample into an initial model, respectively obtaining scores of the input documents, and determining a target value of the sample based on the obtained scores, a clicked bias of a first position and an unclicked bias of a second position, updating the initial model based on the target value of each sample; determining whether the initial model is completely trained; and in response to determining that the initial model is completely trained, determining the updated initial model as the ranking model.
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