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公开(公告)号：US20180144024A1
公开(公告)日：2018-05-24
申请号：US15677612
申请日：2017-08-15
Inventor： Zhihong Fu , Zengfeng Zeng , Qiugen Xiao , Jingzhou He , Lei Shi , Pengkai Li
CPC classification number: G06F16/243 , G06F16/2453 , G06F16/951 , G06F17/2705 , G06F17/273 , G06N5/048
Abstract: A method and an apparatus for correcting a query based on artificial intelligence, including: receiving a first query input by a user, and judging whether the first query satisfies an error correcting condition according to a preset error correcting strategy; determining a first segment to be corrected in the first query if the first query satisfies the error correcting condition; acquiring one or more first candidate results corresponding to the first segment according to a preset candidate recalling strategy; determining an error correcting result corresponding to the first segment according to quality feature values of the one or more first candidate results; and performing an error correction on the first query according to the error correcting result, and generating a second query.
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Patent Agency Ranking
2.发明授权公开(公告)号：US10664659B2
公开(公告)日：2020-05-26
申请号：US15934496
申请日：2018-03-23
Inventor： Liqun Zheng , Jinbo Zhan , Qiugen Xiao , Zhihong Fu , Jingzhou He , Guyue Zhou
IPC: G06F40/284 , G06N3/08 , G06N3/04 , G06F40/242
Abstract: Embodiments of the present disclosure disclose a method for modifying a segmentation model based on artificial intelligence, a device and a storage medium. The method may include: acquiring a model parameter of the segmentation model, and performing a training on a feature vector corresponding to a preset generalized feature of a first training corpus via a neural network so as to acquire a model parameter of the preset generalized feature; performing a word segmentation on the first training corpus according to the model parameter of the segmentation model and the model parameter of the preset generalized feature, so as to acquire a segmentation result; and comparing the segmentation result with the first training corpus according to a preset rule, and modifying the model parameter of the segmentation model and a parameter of the neural network according to a comparison result.
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公开(公告)号：US10929390B2
公开(公告)日：2021-02-23
申请号：US15677612
申请日：2017-08-15
Inventor： Zhihong Fu , Zengfeng Zeng , Qiugen Xiao , Jingzhou He , Lei Shi , Pengkai Li
IPC: G06F15/16 , G06F16/242 , G06N5/04 , G06F16/951 , G06F16/2453 , G06F40/205 , G06F40/232
Abstract: A method and an apparatus for correcting a query based on artificial intelligence, including: receiving a first query input by a user, and judging whether the first query satisfies an error correcting condition according to a preset error correcting strategy; determining a first segment to be corrected in the first query if the first query satisfies the error correcting condition; acquiring one or more first candidate results corresponding to the first segment according to a preset candidate recalling strategy; determining an error correcting result corresponding to the first segment according to quality feature values of the one or more first candidate results; and performing an error correction on the first query according to the error correcting result, and generating a second query.
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公开(公告)号：US10650096B2
公开(公告)日：2020-05-12
申请号：US15934410
申请日：2018-03-23
Inventor： Liqun Zheng , Jinbo Zhan , Qiugen Xiao , Zhihong Fu , Jingzhou He , Guyue Zhou
Abstract: Embodiments of the present disclosure disclose a word segmentation method based on artificial intelligence, a server and a storage medium. The word segmentation method may include: acquiring a corpus to be segmented and a segmentation model corresponding to a preset segmentation template; matching the corpus to be segmented with the segmentation model according to a preset matching algorithm, and acquiring a target phrase satisfying a first preset rule in the corpus to be segmented; modifying an emission matrix corresponding to the segmentation model and the corpus to be segmented according to the target phrase; and performing a word segmentation on the corpus to be segmented according to the emission matrix modified, to acquire a first segmentation result.
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公开(公告)号：US10884771B2
公开(公告)日：2021-01-05
申请号：US16237262
申请日：2018-12-31
Inventor： Qiugen Xiao
IPC: G06F17/27 , G06F9/451 , G06F40/44 , G06F40/58 , G06F40/103 , G06F40/129 , G06F40/263 , G06F40/279
Abstract: The present disclosure provides a method and a device for displaying multi-language typesetting, a browser, a terminal and a computer readable storage medium. The method includes: obtaining a text to be typeset; identifying embedded language content in a principal language text of the text to be typeset, wherein the embedded language content comprises at least one non-principal language content embedded in the principal language text; determining replacement content of the embedded language content, wherein the replacement content comprises a principal language text corresponding to the embedded language content or an abbreviation of a non-principal language text in the embedded language content; and replacing the embedded language content with the replacement content.
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6.发明申请公开(公告)号：US20180365227A1
公开(公告)日：2018-12-20
申请号：US15941065
申请日：2018-03-30
Inventor： Liqun Zheng , Jinbo Zhan , Qiugen Xiao , Zhihong Fu , Jingzhou He , Guyue Zhou
IPC: G06F17/27
Abstract: Embodiments of the present disclosure disclose a method and an apparatus for customizing a word segmentation model based on artificial intelligence, a device and a medium. The method includes the followings. A customized segmentation training corpus is acquired. A first preset word segmentation model is rectified with an increment training method or a weight intervention method, based on the customized segmentation training corpus, to obtain a customized word segmentation model corresponding to the customized segmentation training corpus.
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