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公开(公告)号：US12182724B2
公开(公告)日：2024-12-31
申请号：US17025952
申请日：2020-09-18
Inventor： Fang Huang , Shuangjie Li , Yabing Shi , Ye Jiang , Yang Zhang , Yong Zhu
Abstract: A method and apparatus for generating a temporal knowledge graph, a device and a medium. An embodiment comprises: acquiring corpus including time information; performing multivariate data extraction on the corpus, multivariate data including an entity pair, an entity relationship and a target time interval of the entity relationship, the target time interval being used to indicate a valid period of the entity relationship; and generating a temporal knowledge graph based on the entity pair, the entity relationship and the target time interval of the entity relationship.
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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：US11556812B2
公开(公告)日：2023-01-17
申请号：US16749029
申请日：2020-01-22
Inventor： Qian Li , Yabing Shi , Haijin Liang , Yang Zhang , Yong Zhu
IPC: G06N5/04 , G06F16/21 , G06F16/28 , G06F40/253 , G06N5/02
Abstract: Embodiments of the present disclosure provide to a method and a device for acquiring a data model in a knowledge graph, an apparatus and a storage medium. The method includes: receiving a knowledge entry describing a relationship between an entity and an object; determining a plurality of candidate object types of the object according to at least one of the entity, the relationship and the object; determining an object type for generating a data model that matches the knowledge entry from the plurality of candidate object types based on a preset rule; and generating the data model based at least on the object type.
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公开(公告)号：US11520812B2
公开(公告)日：2022-12-06
申请号：US16689862
申请日：2019-11-20
Inventor： Ye Xu , Zhifan Feng , Zhou Fang , Yang Zhang , Yong Zhu
IPC: G06F7/00 , G06F16/332 , G06K9/62 , G06N5/02 , G06V30/418
Abstract: Embodiments of the present disclosure provide a method, apparatus, device and medium for determining text relevance. The method for determining text relevance may include: identifying, from a predefined knowledge base, a first set of knowledge elements associated with a first text and a second set of knowledge elements associated with a second text. The knowledge base includes a knowledge representation consist of knowledge elements. The method may further include: determining knowledge element relevance between the first set of knowledge elements and the second set of knowledge elements, and determining text relevance between the second text and the first text based at least on the knowledge element relevance.
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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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Patent Agency Ranking
公开(公告)号：US11727216B2
公开(公告)日：2023-08-15
申请号：US17117553
申请日：2020-12-10
Inventor： Zhijie Liu , Qi Wang , Zhifan Feng , Chunguang Chai , Yong Zhu
IPC: G06F17/00 , G06F40/30 , G06F40/295 , G06F17/16
CPC classification number: G06F40/30 , G06F17/16 , G06F40/295
Abstract: A method, apparatus, device, and storage medium for linking an entity, relates to the technical fields of knowledge graph and deep learning are provided. The method may include: acquiring a target text; determining at least one entity mention included in the target text and a candidate entity corresponding to each entity mention; determining an embedding vector of each candidate entity based on the each candidate entity and a preset entity embedding vector determination model; determining context semantic information of the target text based on the target text and each embedding vector; determining type information of the at least one entity mention; and determining an entity linking result of the at least one entity mention, based on the each embedding vector, the context semantic information, and each type information.
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公开(公告)号：US11321421B2
公开(公告)日：2022-05-03
申请号：US16539796
申请日：2019-08-13
Inventor： Fang Huang , Shuangjie Li , Bingyang Yu , Yabing Shi , Haijin Liang , Yang Zhang , Yong Zhu
IPC: G06F16/958 , G06F16/953
Abstract: Embodiments of the present disclosure provide a method, an apparatus and a device for generating entity relationship data, and a storage medium. The method includes: obtaining webpage source data corresponding to a target webpage; identifying at least one key value block from the webpage source data, wherein the key value block comprises at least one key value pair; identifying body values corresponding to the at least one key value block from the webpage source data; and generating entity relationship data corresponding to the target webpage according to the key value blocks and the body values corresponding to the key value blocks. With the technical solution the present disclosure, the webpage universality may be improved, labor cost may be reduced, and output quantity of the entity relationship data may be increased.
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公开(公告)号：US20210216716A1
公开(公告)日：2021-07-15
申请号：US17213927
申请日：2021-03-26
Inventor： Qi Wang , Zhifan Feng , Zhijie Liu , Siqi Wang , Chunguang Chai , Yong Zhu
IPC: G06F40/295 , G06F16/33
Abstract: A method, apparatus, device, and storage medium for entity linking is disclosed. The method includes: acquiring a target text; determining at least one entity mention included in the target text; determining a candidate entity corresponding to each of the entity mention based on a preset knowledge base; determining a reference text of each of the candidate entity and determining additional feature information of each of the candidate entity; and determining an entity linking result based on the target text, each of the reference text, and each piece of the additional feature information.
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公开(公告)号：US20200242490A1
公开(公告)日：2020-07-30
申请号：US16749029
申请日：2020-01-22
Inventor： Qian LI , Yabing Shi , Haijin Liang , Yang Zhang , Yong Zhu
IPC: G06N5/04 , G06F40/253 , G06F16/21 , G06F16/28 , G06N5/02
Abstract: Embodiments of the present disclosure provide to a method and a device for acquiring a data model in a knowledge graph, an apparatus and a storage medium. The method includes: receiving a knowledge entry describing a relationship between an entity and an object; determining a plurality of candidate object types of the object according to at least one of the entity, the relationship and the object; determining an object type for generating a data model that matches the knowledge entry from the plurality of candidate object types based on a preset rule; and generating the data model based at least on the object type.
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10.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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