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1.发明授权公开(公告)号：US12236361B2
公开(公告)日：2025-02-25
申请号：US17037612
申请日：2020-09-29
Inventor： Wenbin Jiang , Huanyu Zhou , Meng Tian , Ying Li , Xinwei Feng , Xunchao Song , Pengcheng Yuan , Yajuan Lyu , Yong Zhu
Abstract: The present disclosure discloses a question analysis method, a device, a knowledge base question answering system and an electronic equipment. The method includes: analyzing a question to obtain N linearized sequences, N being an integer greater than 1; converting the N linearized sequences into N network topology maps; separately calculating a semantic matching degree of each of the N network topology maps to the question; and selecting a network topology map having a highest semantic matching degree to the question as a query graph of the question from the N network topology maps. According to the technology of the present disclosure, the query graph of the question can be obtained more accurately, and the accuracy of the question to the query graph is improved, thereby improving the accuracy of question analysis.
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公开(公告)号：US11620532B2
公开(公告)日：2023-04-04
申请号：US16665882
申请日：2019-10-28
Inventor： Jianhui Huang , Min Qiao , Zhifan Feng , Pingping Huang , Yong Zhu , Yajuan Lyu , Ying Li
Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating a neural network. The method includes: acquiring a target neural network, the target neural network corresponding to a preset association relationship, and being configured to use two entity vectors corresponding to two entities in a target knowledge graph as an input, to determine whether an association relationship between the two entities corresponding to the inputted two entity vectors is the preset association relationship, the target neural network comprising a relational tensor predetermined for the preset association relationship; converting the relational tensor in the target neural network into a product of a target number of relationship matrices, and generating a candidate neural network comprising the target number of converted relationship matrices; and generating a resulting neural network using the candidate neural network.
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公开(公告)号：US11275898B2
公开(公告)日：2022-03-15
申请号：US16157204
申请日：2018-10-11
Inventor： Yong Zhu , Xunchao Song , Ying Li , Yilin Zhang
Abstract: The present disclosure provides a search method and device based on artificial intelligence and an electronic device. The search method based on artificial intelligence includes: obtaining a query; performing a word segmentation on the query to obtain a term sequence containing a plurality of terms; performing a structured analysis on the term sequence to generate a semantic pattern; performing a knowledge-based analysis on the term sequence based on the semantic pattern to generate a semantic analysis result; determining an understanding result corresponding to the query based on the semantic pattern and the semantic analysis result; and performing a search based on the understanding result corresponding to the query.
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公开(公告)号：US20210201168A1
公开(公告)日：2021-07-01
申请号：US17204209
申请日：2021-03-17
Inventor： Haiwei Wang , Haifeng Wang , Wei He , Ying Li , Yong Zhu , Jie Wang
Abstract: A method and apparatus for outputting information, a device and a storage medium are provided. An implementation of the method may include: acquiring knowledge data from at least one data source; acquiring information related to at least one user and a preset entity set; determining an entity, metadata of the entity and a relationship between entities, based on the related information, the knowledge data and the preset entity set; creating a knowledge graph based on the entity, the metadata and the relationship; and outputting the knowledge graph.
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5.发明申请公开(公告)号：US20200242152A1
公开(公告)日：2020-07-30
申请号：US16690387
申请日：2019-11-21
Inventor： Pingping Huang , Min Qiao , Ying Li , Jianhui Huang
IPC: G06F16/532 , G06K9/62 , G06F16/583 , G06F16/535
Abstract: Embodiments of the present disclosure provide a method, apparatus, electronic device, and computer readable storage medium for image-based data processing. The method includes: determining, in response to an inputted query for an image, an attribute associated with an object presented in the image based on a preset mapping between the object and the attribute, further includes: determining a degree of correlation between the object and the query based on the object and the attribute, and still further includes: providing a response to the query based on the degree of correlation between the object and the query. The embodiments of the present disclosure can improve the performance of the system for image-based data processing.
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Patent Agency Ranking
公开(公告)号：US20190220516A1
公开(公告)日：2019-07-18
申请号：US16213490
申请日：2018-12-07
Inventor： Renkai YANG , Hao Wang , Ying Li , Yilin Zhang
IPC: G06F17/27 , G06N3/04 , G06N3/08 , G06N3/00 , G06F16/903
CPC classification number: G06F17/2785 , G06F16/90344 , G06N3/006 , G06N3/0445 , G06N3/08
Abstract: A method and apparatus for mining general text content, a server, and a storage medium, are disclosed. A specific embodiment of the method can include: acquiring a question including a target subject and a target characteristic; and inputting the target subject, the target characteristic and a target text into a pre-constructed answer prediction model, and determining a starting position and an ending position of an answer to the question in the target text by the answer prediction model. The answer prediction model is pre-trained based on a sample question including a sample subject and a sample characteristic, and a starting position and an ending position of a sample answer in a text. In the technical solution provided by the embodiments of the present disclosure, the starting position and the ending position of the answer in the target text may be correctly predicted, thereby increasing the accuracy of answer recognition.
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公开(公告)号：US11782981B2
公开(公告)日：2023-10-10
申请号：US16213610
申请日：2018-12-07
Inventor： Ye Xu , Zhifan Feng , Chao Lu , Yang Zhang , Zhou Fang , Shu Wang , Yong Zhu , Ying Li
IPC: G06F16/901 , G06F16/28 , G06F16/951 , G06F16/955
CPC classification number: G06F16/9024 , G06F16/288 , G06F16/951 , G06F16/955
Abstract: Embodiments of the disclosure disclose a method, apparatus, server, and storage medium for incorporating a structured entity, wherein the method for incorporating a structured entity can comprise: selecting a candidate entity associated with a to-be-incorporated structured entity from a knowledge graph, determining the to-be-incorporated structured entity being an associated entity based on prior attribute information of a category of the candidate entity and a preset model, merging the associated entity and the candidate entity, and incorporating the associated entity into the knowledge graph. The embodiments can select a candidate entity, and then integrate a preset model using prior knowledge, which can effectively improve the efficiency and accuracy in associating entities, and reduce the amount of calculation, to enable the structured entity to be simply and efficiently incorporated into the knowledge graph.
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公开(公告)号：US11455542B2
公开(公告)日：2022-09-27
申请号：US16236570
申请日：2018-12-30
Inventor： Zhifan Feng , Chao Lu , Yong Zhu , Ying Li
Abstract: The present disclosure provides a text processing method and device based on ambiguous entity words. The method includes: obtaining a context of a text to be disambiguated and at least two candidate entities represented by the text to be disambiguated; generating a semantic vector of the context based on a trained word vector model; generating a first entity vector of each of the at least two candidate entities based on a trained unsupervised neural network model; determining a similarity between the context and each candidate entity; and determining a target entity represented by the text to be disambiguated in the context.
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公开(公告)号：US11409813B2
公开(公告)日：2022-08-09
申请号：US16213635
申请日：2018-12-07
Inventor： Xinwei Feng , Xuping Cao , Yilin Zhang , Ying Li
IPC: G06F16/95 , G06F16/951 , G06F16/9532 , G06F16/955
Abstract: A method and apparatus for mining a general tag, a server and a medium are disclosed. The method can comprise: matching a tag seed rule containing a tag placeholder and an attribute of the tag placeholder with historical search information to determine a matching tag; combining the existing tag seed rule and the matching tag to construct a new search sequence set; and performing a generalization process on search sequences included in the new search sequence set to obtain a new tag seed rule, and returning to perform the operation of matching the new tag seed rule with the historical search information to determine a new tag until the tag and the tag seed rule satisfy a convergence condition. A more comprehensive and profound tag can be mined, and the entire flow of mining the tag can not be dependent on a vertical website.
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10.发明申请公开(公告)号：US20200257922A1
公开(公告)日：2020-08-13
申请号：US16690432
申请日：2019-11-21
Inventor： Jianhui Huang , Pingping Huang , Min Qiao , Ying Li
IPC: G06K9/46 , G06K9/62 , G06F16/583 , G06K9/18 , G06F17/27
Abstract: Embodiments of the present disclosure disclose a method, apparatus, device, and readable storage medium for image-based data processing. The method comprises: acquiring an image and a to-be-processed text; extracting features of a plurality of objects in the image, and extracting a feature of the text; fusing the features of the plurality of objects into a fused feature of the image based on a matching degree between the feature of the text and a feature of each object of the plurality of objects; and processing the text based on the fused feature of the image and the feature of the text. Embodiments of the present disclosure can accurately learn an association relationship between a text and each object in an image, and improve the processing accuracy.
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