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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：US11775761B2
公开(公告)日：2023-10-03
申请号：US17023915
申请日：2020-09-17
Inventor： Shu Wang , Kexin Ren , Xiaohan Zhang , Zhifan Feng , Yang Zhang , Yong Zhu
IPC: G06F40/295 , G06F16/33 , G06N20/00 , G06F40/253 , G06N5/04 , G06F40/30
CPC classification number: G06F40/295 , G06F16/3347 , G06F40/253 , G06N5/04 , G06N20/00 , G06F40/30 , G06F2216/03
Abstract: A method for mining an entity focus in a text may include: performing word and phrase feature extraction on an input text; inputting an extracted word and phrase feature into a text coding network for coding, to obtain a coding sequence of the input text; processing the coding sequence of the input text using a core entity labeling network to predict a position of a core entity in the input text; extracting a subsequence corresponding to the core entity in the input text from the coding sequence of the input text, based on the position of the core entity in the input text; and predicting a position of a focus corresponding to the core entity in the input text using a focus labeling network, based on the coding sequence of the input text and the subsequence corresponding to the core entity in the input text.
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公开(公告)号：US11361002B2
公开(公告)日：2022-06-14
申请号：US17249001
申请日：2021-02-17
Inventor： Yabing Shi , Shuangjie Li , Ye Jiang , Yang Zhang , Yong Zhu
IPC: G06F16/28 , G06F40/295 , G06F40/30 , G06N20/00
Abstract: The disclosure discloses a method and an apparatus for recognizing an entity word. The method includes: obtaining an entity word category and a document to be recognized; generating an entity word question based on the entity word category; segmenting the document to be recognized to generate a plurality of candidate sentences; inputting the entity word question and the plurality of candidate sentences into a question-answer model trained in advance to obtain an entity word recognizing result; and obtaining an entity word set corresponding to the entity word question based on the entity word recognizing result.
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Patent Agency Ranking
公开(公告)号：US11210524B2
公开(公告)日：2021-12-28
申请号：US16806408
申请日：2020-03-02
Inventor： Kexin Ren , Xiaohan Zhang , Zhifan Feng , Yang Zhang
Abstract: A method and an apparatus for outputting information are provided according to embodiments of the disclosure. The method includes: recognizing a target video, to recognize at least one entity and obtain a confidence degree of each entity, the entity including a main entity and related entities; matching the at least one entity with a pre-stored knowledge base to determine at least one candidate entity; obtaining at least one main entity by expanding the related entities of the at least one candidate entity based on the knowledge base, and obtaining a confidence degree of the obtained main entity; and calculating a confidence level of the obtained main entity based on the confidence degree of each of the related entities of the at least one candidate entity and the confidence degree of the obtained main entity, and outputting the confidence level of the obtained main entity.
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公开(公告)号：US20200242140A1
公开(公告)日：2020-07-30
申请号：US16689862
申请日：2019-11-20
Inventor： Ye Xu , Zhifan Feng , Zhou Fang , Yang Zhang , Yong Zhu
IPC: G06F16/332 , G06N5/02 , G06K9/62 , G06K9/00
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：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：US20210209162A1
公开(公告)日：2021-07-08
申请号：US17211219
申请日：2021-03-24
Inventor： Shuangquan Yang , Yang Zhang , Chang Liu , Yi Xie , Xueting Zhang , Kunpeng Ji , Canxiang Zheng
IPC: G06F16/901 , G06F16/909 , G06F16/904 , G06F16/906 , G06K9/62
Abstract: The disclosure discloses a method and an apparatus for processing identity information, an electronic device, and a storage medium, and relates to a field of data processing technologies. The detailed implementation includes: obtaining first association relationships between identities and entity objects from a plurality of information sources; establishing a relationship graph corresponding to each information source based on at least one first association relationship obtained from each information source; generating a virtual node associated with at least two entity objects in different relationship graphs based on a space-time distance between respective entity objects; and determining a second association relationship between identities involved in different relationship graphs based on the relationship graphs associated with the virtual node.
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公开(公告)号：US10664660B2
公开(公告)日：2020-05-26
申请号：US16128410
申请日：2018-09-11
Inventor： Shuangjie Li , Yabing Shi , Haijin Liang , Yang Zhang , Jingfeng Li
IPC: G06F17/27 , G06F40/295 , G06N3/08 , G06F40/211 , G06F40/216 , G06F40/284
Abstract: A method and device for extracting entity relation based on deep learning and a server are provided. The method includes: preprocessing a text to be mined, to obtain a sentence with entities in the text to be mined; determining an entity pair in the sentence according to the entities, wherein the entity pair includes at least two entities, and determining candidate relations between entities in the entity pair; and determining an entity relation between the entities in the entity pair from the candidate relations.
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