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1.发明申请公开(公告)号：US20210390248A1
公开(公告)日：2021-12-16
申请号：US16950975
申请日：2020-11-18
Inventor： Mengdi XU , Zhuobin DENG , Jiawei LAI , Zhihong FU , Jingzhou HE
IPC: G06F40/166 , G06F40/20 , G06K9/62 , G06N20/00
Abstract: A method and apparatus for correcting character errors, an electronic device and a storage medium are disclosed, which relates to the natural language processing field and the deep learning field. The method may include: for a character to be processed, acquiring the score of each character in a pre-constructed vocabulary, the score being a score of the reasonability of the character in the vocabulary at the position of the character to be processed; selecting top K characters as candidates of the character to be processed, K being a positive integer greater than one; selecting an optimal candidate from the K candidates; and replacing the character to be processed with the optimal candidate if the optimal candidate is different from the character to be processed. With the solution of the present application, the accuracy of an error correction result, or the like, may be improved.
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Patent Agency Ranking
公开(公告)号：US20220067439A1
公开(公告)日：2022-03-03
申请号：US17319631
申请日：2021-05-13
Inventor： Xiaobin ZHANG , Zhihong FU , Dingbang HUANG , Xiyi LUO , Jingzhou HE
Abstract: The technical solutions relate to the fields of artificial intelligence technologies and natural language processing technologies. According to an embodiment, entity detection is performed on a query text to acquire a target entity; a feature representation of the query text is generated by using a pre-trained context representation model; and based on the feature representation of the query text and pre-acquired feature representations of entity categories corresponding to the target entity, the target entity is linked to an entity category with the highest matching degree.
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3.发明申请公开(公告)号：US20180365208A1
公开(公告)日：2018-12-20
申请号：US15934496
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 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：US20220198137A1
公开(公告)日：2022-06-23
申请号：US17382567
申请日：2021-07-22
Inventor： Jiawei LAI , Zhuobin DENG , Mengdi XU , Zhihong FU , Jingzhou HE
IPC: G06F40/194 , G06F40/40
Abstract: The present disclosure provides a text error-correcting method, apparatus, electronic device and readable storage medium and relates to the field of natural language processing and deep learning. In the present disclosure, an implementation solution employed when performing text error correction is: obtaining a text to be processed, and an error-correcting type of the text to be processed; selecting a target error-correcting model corresponding to the error-correcting type; processing the text to be processed using the target error-correcting model, and regarding a processing result as an error-correcting result of the text to be processed. The present disclosure can enhance the flexibility and accuracy of text error correction.
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5.发明申请公开(公告)号：US20190095447A1
公开(公告)日：2019-03-28
申请号：US16054966
申请日：2018-08-03
Inventor： Qiugen XIAO , Jinbo ZHAN , Kunsheng ZHOU , Liqun ZHENG , Zhihong FU , Jingzhou HE
Abstract: Embodiments of the disclosure disclose a method, apparatus, device, and storage medium for establishing an error correction model based on an error correction platform. The method comprises: determining a target error correction level based on an error correction need of a user; and selecting at least one error correction module from each of at least two error correcting portions of the error correction platform based on the target error correction level, and combining the selected error correction module to form an error correction model.
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公开(公告)号：US20180365217A1
公开(公告)日：2018-12-20
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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