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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
6.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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公开(公告)号：US11775776B2
公开(公告)日：2023-10-03
申请号：US17147881
申请日：2021-01-13
Inventor： Shuangjie Li , Miao Yu , Yabing Shi , Xuefeng Hao , Xunchao Song , Ye Jiang , Yang Zhang , Yong Zhu
IPC: G06F40/40 , G06N20/00 , G06F40/289
CPC classification number: G06F40/40 , G06F40/289 , G06N20/00
Abstract: A method and an apparatus for processing information are provided. The method can include: acquiring a word sequence obtained by performing word segmentation on two paragraphs in a text; inputting the word sequence into a to-be-trained natural language processing model to generate a word vector corresponding to a word in the word sequence; inputting the word vector into a preset processing layer of the to-be-trained natural language processing model; predicting whether the two paragraphs are adjacent, and a replaced word in the two paragraphs; and acquiring reference information of the two paragraphs, and training the to-be-trained natural language processing model to obtain a trained natural language processing model, based on the prediction result and the reference information.
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公开(公告)号：US11651164B2
公开(公告)日：2023-05-16
申请号：US17036609
申请日：2020-09-29
Inventor： Zhijie Liu , Qi Wang , Zhifan Feng , Zhou Fang , Chunguang Chai , Yong Zhu
IPC: G06F40/30 , G06F16/435 , G06F16/2458 , G06F40/253 , G06F40/279
CPC classification number: G06F40/30 , G06F16/2465 , G06F16/435 , G06F40/253 , G06F40/279 , G06F2216/03
Abstract: The present disclosure provides a method, a device, an equipment and a storage medium for mining a topic concept. The method includes: acquiring a plurality of candidate topic concepts based on a query; performing word segmentation on the plurality of candidate topic concepts and performing part-of-speech tagging on words obtained after performing the word segmentation, to obtain a part-of-speech sequence of each of the plurality of candidate topic concepts; and filtering the plurality of candidate topic concepts based on the part-of-speech sequence, to filter out a topic concept corresponding to a target part-of-speech sequence among the plurality of candidate topic concepts, in which a proportion of accurate topic concepts in the target part-of-speech sequence is lower than or equal to a first preset threshold, or a proportion of inaccurate topic concepts in the target part-of-speech sequence is higher than or equal to a second preset threshold.
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公开(公告)号：US11620532B2
公开(公告)日：2023-04-04
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：US11275898B2
公开(公告)日：2022-03-15
申请号：US16157204
申请日：2018-10-11
Inventor： Yong Zhu , Xunchao Song , Ying Li , Yilin Zhang
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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