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Patent Agency Ranking
公开(公告)号：US20210027766A1
公开(公告)日：2021-01-28
申请号：US16930223
申请日：2020-07-15
Inventor： Yingchao SHI , Jizhou HUANG
Abstract: The present disclosure provides a speech error-correction method, device and storage medium. The method includes: determining at least one language type to which a present query speech belongs according to the present query speech of a user, and user description information, wherein the language types include mandarin and at least one dialect; determining each speech error-correction model corresponding to each language type; performing speech analysis on the present query speech by using the determined speech error-correction models, and performing speech error-correction based on a result of the speech analysis.
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公开(公告)号：US20180322115A1
公开(公告)日：2018-11-08
申请号：US15854918
申请日：2017-12-27
Inventor： Yingchao SHI , Wei He , Qiaoqiao She , Jianqing Cui , Xiangyang Zhou , Junqiang Zheng
Abstract: Embodiments of the present disclosure provide a method and a device for determining a comment, a server and a storage medium. The method includes: obtaining text content of an event; determining an event tag of the event according to the text content; comparing the event tag with comment tags in a comment graph, to determine candidate comments, the comment graph being generated according to other events and corresponding comments, and the comment graph including comments and corresponding comment tags; and screening the candidate comments, to determine a candidate comment satisfying a preset condition as the comment of the event.
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公开(公告)号：US20190058609A1
公开(公告)日：2019-02-21
申请号：US16054812
申请日：2018-08-03
Inventor： Jianqing CUI , Yingchao SHI , Hao TIAN , Qiaoqiao SHE , Shiqi ZHAO
Abstract: Embodiments of the disclosure disclose a method and apparatus for pushing information based on artificial intelligence. A specific embodiment of the method includes: mining, in response to a new match occurring, real-time match data of the match and real-time associated data of the match; generating structured data using the real-time match data; generating a to-be-recommended item using the real-time associated data and an offline item; determining whether a current time point is a recommendation node based on the structured data and real-time match state information acquired from a state manager; generating a to-be-pushed message based on the to-be-recommended item, the real-time match state information, and basic match information acquired from the state manager, and updating a to-be-pushed message record in the state manager, if the current time point is the recommendation node; and pushing the to-be-pushed message. The embodiment has improved the quality and timeliness of pushing a to-be-pushed message.
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4.发明申请公开(公告)号：US20180357508A1
公开(公告)日：2018-12-13
申请号：US16001119
申请日：2018-06-06
Inventor： Jianqing CUI , Yingchao SHI , Hao TIAN , Shiqi ZHAO , Qiaoqiao SHE
CPC classification number: G06K9/629 , G06F17/30551 , G06F17/3069 , G06K9/6232 , G06N5/04
Abstract: The present disclosure provides a method and apparatus for generating a competition commentary based on artificial intelligence, and a storage medium, wherein the method comprises: obtaining commentator's words commentaries and structured data of historical competitions; generating a commentating model according to obtained information; during live broadcast of a competition, determining a corresponding words commentary according to the commentating model with respect to the structured data obtained each time. The solution of the present disclosure can be applied to reduce time delay and improve the accuracy of the commentaries.
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公开(公告)号：US20180349355A1
公开(公告)日：2018-12-06
申请号：US15942297
申请日：2018-03-30
Inventor： Yingchao SHI , Jianqing CUI , Wei HE
Abstract: The present disclosure discloses an artificial intelligence based method and apparatus for constructing a comment graph. A specific embodiment of the method comprises: determining a comment text based on comment data on a network page; identifying a comment subject and a comment opinion in the comment text, based on a characteristic in the comment text; generating a subject opinion pair including the comment subject, the comment opinion and an emotional tendency based on the comment subject and the comment opinion; generating a comment label associated with the subject opinion pair based on news information; and generating a comment graph, based on the comment label and the subject opinion pair. This embodiment improves the pertinence and the accuracy of the comment and the control to the comment emotion, when providing comments externally.
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