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公开(公告)号：US20210256038A1
公开(公告)日：2021-08-19
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
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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公开(公告)号：US20210216715A1
公开(公告)日：2021-07-15
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 , G06F40/253 , G06F16/33 , G06N20/00 , G06N5/04
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：US20200294267A1
公开(公告)日：2020-09-17
申请号：US16751011
申请日：2020-01-23
Inventor： Xiaohan ZHANG , Ye XU , Kexin REN , Zhifan FENG , Yang ZHANG , Yong ZHU
IPC: G06T7/73
Abstract: Embodiments of the present provide a method and a device for processing an image, server and storage medium. The method includes: determining, based on an object type of an object in an image to be processed, a feature expression of the object in the image to be processed; and determining an entity associated with the object in the image to be processed based on the feature expression of the object in the image to be processed and a feature expression of an entity in a knowledge graph.
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公开(公告)号：US20210216882A1
公开(公告)日：2021-07-15
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 of the method 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：US20210216712A1
公开(公告)日：2021-07-15
申请号：US17149185
申请日：2021-01-14
Inventor： Shu WANG , Kexin REN , Xiaohan ZHANG , Zhifan FENG , Yang ZHANG , Yong ZHU
IPC: G06F40/279 , G06F17/16 , G06F17/18
Abstract: A method and an apparatus for labelling a core entity, and a related electronic device are proposed. A character vector sequence, a first word vector sequence and an entity vector sequence corresponding to a target text are obtained by performing character vector mapping, word vector mapping and entity vector mapping are performed on the target text, to obtain a target vector sequence corresponding to the target text. A first probability that each character of the target text is a starting character of a core entity and a second probability that each character of the target text is an ending character of a core entity are determined by encoding and decoding the target vector sequence. One or more core entities of the target text are determined based on the first probability and the second probability.
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Patent Agency Ranking
公开(公告)号：US20190220752A1
公开(公告)日：2019-07-18
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: G06N5/02 , G06N5/04 , G06N7/00 , G06F16/28 , G06F16/901 , G06F16/951 , G06F16/955 , G06F16/2458 , G06K9/62
CPC classification number: G06N5/022 , G06F16/2468 , G06F16/288 , G06F16/9024 , G06F16/951 , G06F16/955 , G06K9/6215 , G06K9/6276 , G06N5/04 , G06N7/005
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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7.发明申请公开(公告)号：US20220019341A1
公开(公告)日：2022-01-20
申请号：US17374136
申请日：2021-07-13
Inventor： Wei LIU , Yingjie NIU , Fei FANG , Jingbo FAN , Xiying WANG , Junjie HUANG , Yong CUI , Lusong WANG , Kailong YAN , Linlin PAN , Yang ZHANG , Xueting HUO
IPC: G06F3/0484 , G06F3/0482 , G06N20/00
Abstract: The present application discloses a method for displaying map information and corresponding apparatus, electronic device, and computer storage medium, which relates to the fields of deep learning, knowledge graphs, and artificial intelligence. The method may include: when a user starts a map, acquiring a user feature of the user and historical click theme information of the user; for any to-be-recommended theme, determining a click probability of the to-be-recommended theme by using a pre-trained recommendation model according to the user feature and the historical click theme information respectively; and displaying the to-be-recommended themes with the click probabilities meeting a predetermined requirement on the map. The efficiency of acquiring information through maps by users and the like can be improved by use of the solutions according to the present application.
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公开(公告)号：US20210319329A1
公开(公告)日：2021-10-14
申请号：US17208921
申请日：2021-03-22
Inventor： Shuangquan YANG , Yang ZHANG , Chang LIU , Yi XIE
IPC: G06N5/02 , G06F16/906
Abstract: The present disclosure provides a method for generating a knowledge graph, a method for mining relation and an apparatus for generating a knowledge graph. The method for generating a knowledge graph includes: obtaining an initial knowledge graph, wherein the initial knowledge graph comprises a plurality of nodes having connection relationships; determining a plurality of target map elements meeting preset property information requirements from the initial knowledge graph, in which the target map elements comprise target nodes, or target edges; and merging the plurality of the target map elements to generate a knowledge graph.
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公开(公告)号：US20210216819A1
公开(公告)日：2021-07-15
申请号：US17149267
申请日：2021-01-14
Inventor： Wei HE , Shuangjie LI , Yabing SHI , Ye JIANG , Yang ZHANG , Yong ZHU
IPC: G06K9/62 , G06F40/205 , G06N20/00
Abstract: A method and an apparatus for extracting SPO triples, an electronic device, and a storage medium are related to the field of artificial intelligence technologies. The solution may include: inputting annotated training data into each of multiple extraction models; predicting SPO triples satisfying defined relations in the annotated training data through each of multiple extraction models; combining the predicted SPO triples corresponding to each of multiple extraction models; extracting SPO triples satisfying screening conditions from the combined SPO triples; mining SPO triples with missing annotations from the annotated training data based on the SPO triples satisfying screening conditions, in response to that the SPO triples satisfying screening conditions do not satisfy output conditions; supplementing the SPO triples with missing annotations into the annotated training data; repeating the inputting, predicting, combining, extracting, mining and supplementing until the SPO triples satisfying screening conditions satisfy the output conditions.
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公开(公告)号：US20210216725A1
公开(公告)日：2021-07-15
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 , 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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