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公开(公告)号：US20220083949A1
公开(公告)日：2022-03-17
申请号：US17194129
申请日：2021-03-05
Inventor： Haiwei WANG , Haifeng WANG , Wei HE , Ying LI , Jie WANG , Yong ZHU
Abstract: A method and apparatus for pushing information, a device and a storage medium are provided. An implementation of the method may include: acquiring a user identifier of a target user; in response to determining that the user identifier satisfies a preset condition, acquiring a work intention of the target user; determining target information according to the user identifier, the work intention and a pre-established knowledge graph; and pushing the target information to the target user.
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公开(公告)号：US20210034993A1
公开(公告)日：2021-02-04
申请号：US16936190
申请日：2020-07-22
Inventor： Miao FAN , Jizhou HUANG , An ZHUO , Ying LI , Ping LI , Haifeng WANG
Abstract: A POI valuation method, apparatus, device and computer storage medium are disclosed. The method comprises: obtaining information of first POIs with known values and information of second POIs with unknown values within a regional range; creating a valuation model which is configured to revaluate a first POI using values of surrounding POIs of the first POI, the surrounding POIs including other first POIs and second POIs within a predetermined range of distance from the first POI, and adjusting values of second POIs in the surrounding POIs using an error between a revaluated value of first POI and the known value of the first POI; training the valuation model until the error is minimized; obtaining the values of the second POIs from the valuation model. The solutions may reduce the requirement for manpower and improve the valuation efficiency as compared with manually valuation of POIs one by one.
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公开(公告)号：US20200293921A1
公开(公告)日：2020-09-17
申请号：US16750304
申请日：2020-01-23
Inventor： Jianhui HUANG , Min QIAO , Pingping HUANG , Yong ZHU , Yajuan LYU , Ying LI
Abstract: Embodiments of the present disclosure disclose a visual question answering model, an electronic device and a storage medium. The visual question answering model includes an image encoder and a text encoder. The text encoder is configured to perform pooling on a word vector sequence of a question text inputted, so as to extract a semantic representation vector of the question text; and the image encoder is configured to extract an image feature of a given image in combination with the semantic representation vector.
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4.发明申请公开(公告)号：US20190228320A1
公开(公告)日：2019-07-25
申请号：US16255369
申请日：2019-01-23
Abstract: Systems, methods, terminals, and computer readable storage medium for normalizing entities in a knowledge base. A method for normalizing entities in a knowledge base includes acquiring a set of entities in the knowledge base, pre-segmenting the set of entities in a plurality of segmenting modes, performing a sample construction based on the result of pre-segmentation to extract a key sample, performing a feature construction based on the result of pre-segmentation to extract a similar feature, performing a normalizing determination on each pair of entities with at least one normalization model using the key sample and the similar feature to determine whether entities in each pair are the same, and grouping results of the normalizing determination.
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公开(公告)号：US20190205384A1
公开(公告)日：2019-07-04
申请号：US16157204
申请日：2018-10-11
Inventor： Yong ZHU , Xunchao SONG , Ying LI , Yilin ZHANG
CPC classification number: G06F17/2785 , G06F16/3344 , G06F16/35
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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Patent Agency Ranking
公开(公告)号：US20190220749A1
公开(公告)日：2019-07-18
申请号：US16236570
申请日：2018-12-30
Inventor： Zhifan FENG , Chao LU , Yong ZHU , Ying LI
CPC classification number: G06N3/088 , G06F17/278 , G06F17/2785 , G06N3/0454 , G06N5/02 , G06N5/022 , G06N20/00
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：US20190220486A1
公开(公告)日：2019-07-18
申请号：US16213635
申请日：2018-12-07
Inventor： Xinwei FENG , Xuping CAO , Yilin ZHANG , Ying LI
IPC: G06F16/951 , G06F16/955 , G06F16/9532
CPC classification number: 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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8.发明申请公开(公告)号：US20210319335A1
公开(公告)日：2021-10-14
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：US20200293905A1
公开(公告)日：2020-09-17
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：US20190220752A1
公开(公告)日：2019-07-18
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: G06N5/02 , G06N5/04 , G06N7/00 , G06F16/28 , G06F16/901 , G06F16/951 , G06F16/955 , G06F16/2458 , G06K9/62
CPC classification number: G06N5/022 , G06F16/2468 , G06F16/288 , G06F16/9024 , G06F16/951 , G06F16/955 , G06K9/6215 , G06K9/6276 , G06N5/04 , G06N7/005
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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