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公开(公告)号：US20230316709A1
公开(公告)日：2023-10-05
申请号：US17902323
申请日：2022-09-02
Inventor： Siqi XU , Ke SUN , Jian GONG , Xu PAN , Zhiqun XIA , Zhe YANG , Zecheng ZHUO
IPC: G06V10/762 , G06V10/764 , G06V10/74 , G06F16/28
CPC classification number: G06V10/762 , G06V10/764 , G06V10/761 , G06F16/285
Abstract: Provided is a data labeling method based on artificial intelligence, an apparatus, and a storage medium relating to the field of artificial intelligence, particularly data labeling, image recognition, and natural language processing. The method includes: determining a plurality of samples involved in clustering; performing a plurality of following operations circularly to realize iterative processing, until a convergence condition is satisfied or a quantity of iterations reaches a number threshold, comprising: pre-clustering the plurality of samples according to a vector representation of the respective samples to obtain a plurality of class clusters, each class cluster containing at least one sample; receiving labeling information for the respective class clusters and re-determining the plurality of samples according to the labeling information; and determining a clustering result according to the labeling information for the respective class clusters.
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公开(公告)号：US20230386237A1
公开(公告)日：2023-11-30
申请号：US18157377
申请日：2023-01-20
Inventor： Chenhui LIU , Jian GONG , Ke SUN , Xu PAN , Siqi XU , Zecheng ZHUO
IPC: G06V30/19
CPC classification number: G06V30/19173 , G06V30/19093 , G06V30/1912
Abstract: Provided are a classification method and apparatus, an electronic device and a storage medium, which relate to the field of artificial intelligence and in particular, to the fields of natural language processing and deep learning. The classification method comprises: performing coding processing on to-be-classified data to obtain a to-be-classified coding feature; determining reference coding features of reference classification data similar to the to-be-classified data according to the to-be-classified coding feature; and determining a target category of the to-be-classified data according to the reference coding features and reference categories of the reference classification data.
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Patent Agency Ranking
公开(公告)号：US20230020324A1
公开(公告)日：2023-01-19
申请号：US17951094
申请日：2022-09-22
Inventor： Chong LIU , Zecheng ZHUO , Qiang HUANG , Siqi XU , Wenjun ZHANG , Saiding HONG
Abstract: A task processing method, a task processing device and an electronic device are provided, which relate to the field of cloud computing technology and big data technology, in particular to the field of task processing technology. The task processing method includes: obtaining a task processing request for a to-be-processed task, the task processing request including processing time information of the to-be-processed task and a service type of the to-be-processed task; in the case that the processing time information of the to-be-processed task meets a triggering condition, writing the to-be-processed task into a corresponding message queue in accordance with the service type of the to-be-processed task, one message queue corresponding to a respective one service type; and processing the to-be-processed task in the message queue, to obtain a task processing result of the to-be-processed task.
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公开(公告)号：US20230086429A1
公开(公告)日：2023-03-23
申请号：US17992884
申请日：2022-11-22
Inventor： Siqi XU , Xu PAN , Chenhui LIU , Jian GONG , Zecheng ZHUO
IPC: G06F40/295
Abstract: A method of recognizing an address, an electronic device, and a storage medium, which relate to fields of artificial intelligence and computer technologies, fields of knowledge graph, deep learning and cloud computing. The method includes: performing a location entity recognition on a content to be recognized, so as to obtain a target location entity, the target location entity including at least one of a standardized location entity, an alias location entity, or a landmark location entity; determining a standardized address corresponding to each type of the location entity in the target location entity according to an address graph to obtain at least one standardized address, the address graph including a standardized location entity, an alias location entity, a landmark location entity, and a corresponding relationship between location entities; and determining, from the at least one standardized address, a first target standardized address corresponding to the content to be recognized.
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公开(公告)号：US20220414095A1
公开(公告)日：2022-12-29
申请号：US17823224
申请日：2022-08-30
Inventor： Zhe YANG , Zecheng ZHUO , Jian GONG , Qiang HUANG , Xu PAN , Saiding HONG , Wenjun ZHANG , Siqi XU , Sicong LIN , Chenhui LIU
IPC: G06F16/2458 , G06F16/2455 , G06F16/28 , G06F40/30
Abstract: A method of processing event data, a device, and a medium are provided, which relate to fields of deep learning, natural language processing, cloud services, etc. The method of processing event data includes: determining target feature data corresponding to target event data, in response to receiving a query request containing the target event data; selecting correlated feature data from candidate feature data based on the target feature data, wherein a similarity between the correlated feature data and the target feature data meets a preset similarity condition; determining operation data associated with the correlated feature data, wherein the operation data represents a level of attention to correlated event data corresponding to the correlated feature data; and determining a level of attention to the target event data based on the operation data.
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公开(公告)号：US20220318503A1
公开(公告)日：2022-10-06
申请号：US17849369
申请日：2022-06-24
Inventor： Wenjun ZHANG , Zecheng ZHUO , Jian GONG , Qiang HUANG , Guoan YOU , Xu PAN
IPC: G06F40/279 , G06F3/16
Abstract: A method and an apparatus for identifying an instruction, and a screen for voice interaction are provided. The method includes: acquiring a text vector and at least one word importance corresponding to a to-be-identified instruction; selecting a target number of quasi-matching instructions from a preset instruction library based on the text vector and the at least one word importance, where the instruction library includes a correspondence between an instruction and a text vector of the instruction, and the instruction in the instruction library includes an instruction type and an instruction-targeting keyword; and generating, based on the instruction type and the instruction-targeting keyword in the target number of quasi-matching instructions, an instruction type and an instruction-targeting keyword matching the to-be-identified instruction.
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7.发明申请公开(公告)号：US20220129634A1
公开(公告)日：2022-04-28
申请号：US17573511
申请日：2022-01-11
Inventor： Siqi XU , Huiqiang ZHONG , Qiang HUANG , Zecheng ZHUO , Chenhui LIU , Houqian ZHOU
IPC: G06F40/295 , G06F40/30 , G06F16/33
Abstract: The present disclosure provides a method and apparatus for constructing an event library, which relate to the technical fields of deep learning, natural language processing, big data, and the like. An implementation includes: acquiring at least one event text data, the at least one event text data being to be assigned to a text library; obtaining an extraction event name based on the event text data; performing a match between the extraction event name and event information in the text library, to obtain a recalled event in the text library; detecting, based on the recalled event, whether the extraction event name meets a unifying condition; and in response to detecting that the extraction event name does not meet the unifying condition, obtaining a new event name in the event library based on the extraction event name, and adding the event text data as a new event into the text library.
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