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公开(公告)号：US20210406480A1
公开(公告)日：2021-12-30
申请号：US17475073
申请日：2021-09-14
Inventor： Fan WANG , Siqi BAO , Xinxian HUANG , Hua WU , Jingzhou HE
IPC: G06F40/40 , G06F16/33 , G06F16/332 , G06N7/00
Abstract: The disclosure discloses a method for generating a conversation, an electronic device, and a storage medium. The detailed implementation includes: obtaining a current conversation and historical conversations of the current conversation; selecting multiple reference historical conversations from the historical conversations and adding the multiple reference historical conversations to a temporary conversation set; and generating reply information of the current conversation based on the current conversation and the temporary conversation set.
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公开(公告)号：US20210383233A1
公开(公告)日：2021-12-09
申请号：US17101748
申请日：2020-11-23
Inventor： Weiyue SU , Shikun FENG , Zhifan ZHU , Weibin LI , Jingzhou HE , Shiwei HUANG
Abstract: The disclosure discloses a method for distilling a model, an electronic device, and a storage medium, and relates to the field of deep learning technologies. A teacher model and a student model are obtained. The second intermediate fully connected layer is transformed into an enlarged fully connected layer and a reduced fully connected layer based on a first data processing capacity of a first intermediate fully connected layer of the teacher model and a second data processing capacity of a second intermediate fully connected layer of the student model. The second intermediate fully connected layer is replaced with the enlarged fully connected layer and the reduced fully connected layer to generate a training student model. The training student model is distilled based on the teacher model.
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公开(公告)号：US20180349350A1
公开(公告)日：2018-12-06
申请号：US15921386
申请日：2018-03-14
Inventor： Zhifan ZHU , Shikun FENG , Kunsheng ZHOU , Jingzhou HE
Abstract: This disclosure discloses an artificial intelligence based method and apparatus for checking a text. An embodiment of the method comprises: lexing a first to-be-checked text and a second to-be-checked text respectively, determining word vectors of the lexed words to generate a first word vector sequence and a second word vector sequence; inputting the first word vector sequence and the second word vector sequence respectively into a pre-trained convolutional neural network containing at least one multi-scale convolutional layer, identifying vector sequences in a plurality of vector sequences outputted by a last multi-scale convolutional layer as eigenvector sequences, to obtain eigenvector sequence groups respectively corresponding to the texts; combining eigenvector sequences in each eigenvector sequence group to generate a combined eigenvector sequence; and analyzing the generated combined eigenvector sequences to determine whether the first text and the second text pass a similarity check. The embodiment improves the flexibility in checking a text.
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公开(公告)号：US20180150561A1
公开(公告)日：2018-05-31
申请号：US15625460
申请日：2017-06-16
Inventor： Xinyu WANG , Di JIANG , Lei SHI , Chen LI , Meng LIAO , Jingzhou HE
Abstract: A searching method and a searching apparatus based on a neural network and a search engine are disclosed, the searching method including: acquiring a query and a pre-query input by a user; acquiring a plurality of search results according to the query; generating a target term vector representation according to the query, the pre-query and the plurality of search results based on an MLP; and forecasting the target term vector representation based on a semantic model of a deep neural network so as to acquire a plurality of s optimized search results corresponding to the query.
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5.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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公开(公告)号：US20210200957A1
公开(公告)日：2021-07-01
申请号：US16895297
申请日：2020-06-08
Inventor： Siqi BAO , Huang HE , Junkun CHEN , Fan WANG , Hua WU , Jingzhou HE
IPC: G06F40/30
Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a dialogue model. The method may include: acquiring a corpus sample set, a corpus sample including input information and target response information; classifying corpus samples in the corpus sample set, setting discrete hidden variables for the corpus samples based on a classification result to generate a training sample set, a training sample including the input information, the target response information, and a discrete hidden variable; and training a preset neural network using the training sample set to obtain the dialogue model, the dialogue model being used to represent a corresponding relationship between inputted input information and outputted target response information.
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公开(公告)号：US20180181628A1
公开(公告)日：2018-06-28
申请号：US15845713
申请日：2017-12-18
Inventor： Jiaxin LIN , Wei BI , Tixi HE , Zhisheng WANG , Yingbin SU , Yuhui CAO , Rui CHEN , Zhihui LIU , Yan ZHANG , Chao ZHOU , Shuo HUANG , Jingzhou HE , Guyue ZHOU , Shiwei HUANG , Di JIANG , Lei SHI
CPC classification number: G06F16/248 , G06F16/2457 , G06F16/337 , G06F16/9535 , G06K9/00442 , G06K9/627 , G06N3/0427 , G06N3/08
Abstract: The present disclosure provides a method and an apparatus for providing information based on artificial intelligence. The method includes: determining a characteristic of interest of the user according to historical access records of the user; and displaying an information card matched with the characteristic of interest in an information displaying interface, the information card including core contents of news matched with the characteristic of interest determined by analyzing news in a database.
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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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公开(公告)号：US20210397947A1
公开(公告)日：2021-12-23
申请号：US17116291
申请日：2020-12-09
Inventor： Weibin LI , Zhifan ZHU , Shikun FENG , Jingzhou HE , Shiwei HUANG
Abstract: Embodiments of the present disclosure provide a method for generating a model for representing heterogeneous graph node. A specific implementation includes: acquiring a training data set, wherein the training data set includes node walk path information obtained by sampling a heterogeneous graph according to different meta paths; and training, based on a gradient descent algorithm, an initial heterogeneous graph node representation model with the training data set as an input of the initial heterogeneous graph node representation model, to obtain a heterogeneous graph node representation model.
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公开(公告)号：US20190163737A1
公开(公告)日：2019-05-30
申请号：US16306488
申请日：2016-12-22
Inventor： Kunsheng ZHOU , Jingzhou HE , Lei SHI , Shikun FENG
Abstract: Disclosed are a method and an apparatus for constructing a binary feature dictionary. The method may include: extracting binary features from a corpus; calculating a preset statistic of each binary feature; and selecting a preset number of binary features in sequence according to the preset statistic to constitute the binary feature dictionary.
