-
1.发明授权公开(公告)号：US11669690B2
公开(公告)日：2023-06-06
申请号：US17149226
申请日：2021-01-14
Inventor： Songtai Dai , Xinwei Feng , Miao Yu , Huanyu Zhou , Xunchao Song , Pengcheng Yuan
IPC: G06F17/00 , G06F40/30 , G06F16/35 , G06F40/295
CPC classification number: G06F40/30 , G06F16/35 , G06F40/295
Abstract: A method for processing a sematic description of a text entity is proposed. The method includes: acquiring a plurality of target texts containing a main entity, and extracting related entities describing the main entity from each target text; acquiring a sub-relation vector of a pair of the main entity and each related entity in each target text; calculating a similarity distance of the main entity between different target texts based on the sub-relation vector; and determining a semantic similarity of the main entity descripted in different target texts based on the similarity distance.
-
公开(公告)号：US20210209309A1
公开(公告)日：2021-07-08
申请号：US17212511
申请日：2021-03-25
Inventor： Meng Tian , Miao Yu , Wenbin Jiang , Xinwei Feng , Huanyu Zhou , Pengcheng Yuan , Xunchao Song , Xueqian Wu , Hongjian Shi
IPC: G06F40/30 , G06F40/205 , G06F40/242
Abstract: The disclosure discloses a semantics processing method, a semantics processing apparatus, an electronic device, and a medium, and relates to a field of knowledge graph technologies. The detailed implementation includes: determining a target semantic element rule matching a text to be parsed, and parsing the text to be parsed by employing the target semantic element rule to obtain a semantic element parsing result; generating a semantic tree based on the semantic element parsing result by employing a target structured rule associated with the target semantic element rule; and performing semantic understanding on the text to be parsed based on the semantic tree.
-
公开(公告)号：US20190179965A1
公开(公告)日：2019-06-13
申请号：US16133483
申请日：2018-09-17
Inventor： Pengcheng Yuan , Renkai Yang , Xunchao Song , Xiaobo Liu , Xinwei Feng
Abstract: Embodiments of the disclosure disclose a method and apparatus for generating information. A specific embodiment of the method comprises: acquiring a historical click log, the historical click log comprising a historical search term and a clicked historical search result corresponding to the historical search term; determining whether matching clicked historical search results exist in the historical click log; establishing a synonymous relationship between historical search terms corresponding to the matching clicked historical search results, in response to determining the matching clicked historical search results existing in the historical click log; and generating a relational word list based on the established synonymous relationship. The embodiment helps to enrich the content of the relational word list, and improve the coverage of the relational word list.
-
4.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.
-
公开(公告)号：US11921276B2
公开(公告)日：2024-03-05
申请号：US17379428
申请日：2021-07-19
Inventor： Xiang Long , Yan Peng , Shufei Lin , Ying Xin , Bin Zhang , Pengcheng Yuan , Xiaodi Wang , Yuan Feng , Shumin Han
IPC: G02B21/24 , G02B21/36 , G06F18/213 , G06F18/214
CPC classification number: G02B21/244 , G02B21/367 , G06F18/213 , G06F18/214
Abstract: Provided are a method and apparatus for evaluating image relative definition, a device and a medium, relating to technologies such as computer vision, deep learning and intelligent medical. A specific implementation solution is: extracting a multi-scale feature of each image in an image set, where the multi-scale feature is used for representing definition features of objects having different sizes in an image; and scoring relative definition of each image in the image set according to the multi-scale feature by using a relative definition scoring model pre-trained, where the purpose for training the relative definition scoring model is to learn a feature related to image definition in the multi-scale feature.
-
Patent Agency Ranking
公开(公告)号：US11669990B2
公开(公告)日：2023-06-06
申请号：US17412574
申请日：2021-08-26
Inventor： Yan Peng , Xiang Long , Shumin Han , Honghui Zheng , Zhuang Jia , Xiaodi Wang , Pengcheng Yuan , Yuan Feng , Bin Zhang , Ying Xin
IPC: G06T7/62 , G06F18/241 , G06F18/25 , G06F18/2137 , G06V10/764 , G06V10/80 , G06V10/82 , G06V10/32 , G06V10/50 , G06V10/26 , G06V20/13
CPC classification number: G06T7/62 , G06F18/2137 , G06F18/241 , G06F18/253 , G06V10/26 , G06V10/32 , G06V10/50 , G06V10/764 , G06V10/809 , G06V10/82 , G06V20/13 , G06T2207/20081 , G06T2207/20084
Abstract: An object area measurement method and an apparatus are provided, relating to the computer vision and deep learning technology. The method includes acquiring an original image with a spatial resolution, the original image including a target object; acquiring an object identification model including at least two sets of classification models; generating one or more original image blocks based on the original image; performing operations on each original image block: scaling each original image block at at least two scaling levels to obtain scaled image blocks with at least two sizes, the scaled image blocks respectively corresponding to the at least two sets of classification models, and inputting the scaled image blocks into the object identification model to obtain an identification result of the target object; and determining an area of the target object based on the respective identification results of the one or more original image blocks and the spatial resolution.
-
公开(公告)号：US12165072B2
公开(公告)日：2024-12-10
申请号：US17213952
申请日：2021-03-26
Inventor： Pingping Huang , Quan Wang , Wenbin Jiang , Pengcheng Yuan
IPC: G06N5/02 , G06F18/20 , G06F18/214 , G06N5/022
Abstract: A method, apparatus, device, and storage medium for expanding data are disclosed. The method includes: acquiring a triplet from a knowledge graph; mining a relationship path equivalent to a relationship in the triplet from the knowledge graph, a subject in the triplet being used as a start point of the relationship path, and an object in the triplet being used as an end point of the relationship path; and expanding the triplet based on the relationship path to generate an expanded triplet. This implementation expands the triplet in the knowledge graph, and strengthens the association between the subject and the object in the triplet in a larger context, such that the association between the subject and the object in the triplet is more global.
-
公开(公告)号：US20210365738A1
公开(公告)日：2021-11-25
申请号：US17444427
申请日：2021-08-04
Inventor： Zhuang Jia , Xiang Long , Honghui Zheng , Yan Peng , Yuan Feng , Bin Zhang , Xiaodi Wang , Pengcheng Yuan , Ying Xin , Shumin Han
Abstract: The present disclosure discloses a method and apparatus for training a model, a method and apparatus for predicting a mineral, a device and a storage medium, and relates to the fields of computer vision and deep learning technologies. An implementation of the method may include: acquiring a target hyperspectral image of a target area, the target hyperspectral image including at least one pixel point annotated with a mineral category; determining a mask image corresponding to the target hyperspectral image; determining a sample hyperspectral image according to the target hyperspectral image and the mask image; determining an annotation vector of each pixel point according to the at least one pixel point annotated with the mineral category; and training a model according to the sample hyperspectral image and the annotation vector of the each pixel point.
-
公开(公告)号：US20210224139A1
公开(公告)日：2021-07-22
申请号：US17076370
申请日：2020-10-21
Inventor： Yang WANG , Xunchao SONG , Pengcheng Yuan , Yifei Wang , Haiping Zhang
IPC: G06F9/52 , G06T1/20 , G06T1/60 , G06F9/50 , G06F16/901
Abstract: The present disclosure provides a method for graph computing, an electronic device and a non-transitory computer-readable storage medium. An execution engine for managing execution of the graph computing is configured in a CPU. One or more interface functions running in a GPU for processing parameters of the graph computing are configured. During the execution of the graph computing, the one or more interface functions are called by the execution engine through a graph computing interface. The interface functions are executed in the GPU in parallel through multiple parallel threads. The interface functions are configured to process a plurality of graph vertexes in parallel. The multiple parallel threads are configured to feedback respective execution results of the interface functions to the execution engine. The graph computing is completed by the execution engine according to the execution results.
-
公开(公告)号：US20210216885A1
公开(公告)日：2021-07-15
申请号：US17213952
申请日：2021-03-26
Inventor： Pingping Huang , Quan Wang , Wenbin Jiang , Pengcheng Yuan
Abstract: A method, apparatus, device, and storage medium for expanding data are disclosed. The method includes: acquiring a triplet from a knowledge graph; mining a relationship path equivalent to a relationship in the triplet from the knowledge graph, a subject in the triplet being used as a start point of the relationship path, and an object in the triplet being used as an end point of the relationship path; and expanding the triplet based on the relationship path to generate an expanded triplet. This implementation expands the triplet in the knowledge graph, and strengthens the association between the subject and the object in the triplet in a larger context, such that the association between the subject and the object in the triplet is more global.
-
-
-
-
-
-
-
-
-
Search Results
19
records
(took 0.019 seconds)
