METHOD AND APPARATUS FOR GENERATING NEURAL NETWORK

    公开(公告)号:US20200293905A1

    公开(公告)日:2020-09-17

    申请号:US16665882

    申请日:2019-10-28

    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.

    METHOD AND APPARATUS FOR DETERMING DESCRIPTION INFORMATION, ELECTRONIC DEVICE AND COMPUTER STORAGE MEDIUM

    公开(公告)号:US20200257659A1

    公开(公告)日:2020-08-13

    申请号:US16692028

    申请日:2019-11-22

    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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