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公开(公告)号:US20230060507A1
公开(公告)日:2023-03-02
申请号:US18047733
申请日:2022-10-19
Inventor: Haiwei Wang , Baowei Wang , Xuejiao Hao , Lingyi Yin , Yang Liu
Abstract: An intelligent office system includes an application layer, an engine layer and a system layer. The application layer may be configured to create work cards for work tasks acquired from application systems, store each work card into the system layer by calling the engine layer; acquire changing information of each work card, and update each work card that has been stored in the system layer by calling the engine layer. In response to being called by the application layer, the engine layer sends the created work cards and the changing information of each work card to the system layer for storage and update. The system layer stores information of each work card.
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公开(公告)号:US20220358292A1
公开(公告)日:2022-11-10
申请号:US17813691
申请日:2022-07-20
Inventor: Fan Wang , Jinchang Luo , Jie Wang , Haiwei Wang , Kunbin Chen , Wei He
IPC: G06F40/295 , G06F16/33 , G06F16/35 , G06F16/31
Abstract: The disclosure provides a method for recognizing an entity, an electronic device and a storage medium. The method includes: obtaining message data to be processed; obtaining entity mention information by processing the message data to be processed according to a multi-pattern matching method; determining one or more candidate entities associated with the entity mention information and entity description information corresponding to the one or more candidate entities; and determining a target entity mentioned in the entity mention information according to the message data to be processed and the entity description information.
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公开(公告)号:US20220027366A1
公开(公告)日:2022-01-27
申请号:US17450005
申请日:2021-10-05
Inventor: Qian WANG , Haiwei Wang , Jie Wang , Zhun Liu , Wei He
IPC: G06F16/2458 , G06F16/28 , G06N3/08
Abstract: An information searching method, an electronic device and a storage medium are provided, which are related to the field of deep learning and the like. The method includes: acquiring K related second-type-entity corresponding to a target first-type-entity from a relational map based on a search word related to the target first-type-entity; wherein K is an integer greater than or equal to 1; selecting M candidate second-type-entity from the K related second-type-entity based on data representing a relation between the K related second-type-entity and the target first-type-entity; wherein M is an integer greater than or equal to 1 and less than or equal to K; selecting N target second-type-entity from the M candidate second-type-entity as a search result; wherein N is an integer greater than or equal to 1 and less than or equal to M.
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