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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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22.
公开(公告)号:US20200257659A1
公开(公告)日:2020-08-13
申请号:US16692028
申请日:2019-11-22
Inventor: Yilin ZHANG , Tianxing YANG , Xunchao SONG , Yong ZHU
Abstract: Embodiments of the present disclosure relate to a method and apparatus for determining description information, an electronic device and a computer readable storage medium. The method includes: determining a feature representation of received query information. The method further includes determining an element representation matching the feature representation in an event element library, the element representation being generated on the basis of an event recorded in a knowledge base. In addition, the method further includes: acquiring description information of an event corresponding to the matching element representation from the knowledge base; and determining description information corresponding to the query information on the basis of the acquired description information. A technical solution according to the present disclosure may determine a processing method for decision-making work accurately and automatically, thereby significantly improving the working efficiency and providing more valuable references for users inside and outside the industry.
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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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