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公开(公告)号：US20220300717A1
公开(公告)日：2022-09-22
申请号：US17806086
申请日：2022-06-09
Inventor： Xin Tian , Liankai Huang , Yingzhan Lin , Siqi Bao , Huang He , Fan Wang , Shuqi Sun , Shiwei Huang
IPC: G06F40/35
Abstract: A method for generating a dialogue state includes: acquiring a target dialogue state of a previous round of dialogue and dialogue information of a current round of dialogue; generating an initial dialogue state of the current round of dialogue according to the target dialogue state of the previous round of dialogue and the dialogue information of the current round of dialogue; and generating a target dialogue state of the current round of dialogue according to the initial dialogue state of the current round of dialogue and the dialogue information of the current round of dialogue.
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公开(公告)号：US20220292145A1
公开(公告)日：2022-09-15
申请号：US17829113
申请日：2022-05-31
Inventor： Yaqing WANG , Dejing DOU
IPC: G06F16/955 , G06F16/9538 , G06F16/9532 , G06F16/903 , G06F16/906
Abstract: A method for data processing is provided. The method includes obtaining first retrieving data associated with a first user and a first retrieving result selected by the first user from at least one retrieving result corresponding to the first retrieving data. The first retrieving data is labelled with an intention tag indicating a retrieving intention of the first user. The method further includes obtaining second retrieving data that is used by a second user to conduct retrieving and selecting the first retrieving result within a predetermined time period. The method further includes assigning the intention tag to the second retrieving data.
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公开(公告)号：US20220284246A1
公开(公告)日：2022-09-08
申请号：US17502385
申请日：2021-10-15
Inventor： Feng HE , Qi WANG , Zhifan FENG , Hu YANG , Chunguang CHAI
IPC: G06K9/62
Abstract: The present disclosure discloses a method for training a cross-modal retrieval model, an electronic device and a storage medium, and relates to the field of computer technologies, and particularly to the field of artificial intelligence technologies, such as knowledge graph technologies, computer vision technologies, deep learning technologies, or the like. The method for training a cross-modal retrieval model includes: determining similarity of a cross-modal sample pair according to the cross-modal sample pair, the cross-modal sample pair including a sample of a first modal and a sample of a second modal, and the first modal being different from the second modal; determining a soft margin based on the similarity, and determining a soft margin loss function based on the soft margin; and determining a total loss function based on the soft margin loss function, and training a cross-modal retrieval model according to the total loss function.
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公开(公告)号：US20220284067A1
公开(公告)日：2022-09-08
申请号：US17824595
申请日：2022-05-25
Inventor： Xihuan LIU , Shichen SHAO , Yongheng LI , Mengze LI , Shan CHEN
IPC: G06F16/9535 , G06F16/9538 , G06F16/955 , G06F16/958 , G06N5/02
Abstract: A method for pushing information, and an electronic device are disclosed. The method includes: obtaining a plurality of initial pages containing document content; predicting, based on the document content in the plurality of initial pages, an effective rate for pushing information using each initial page; selecting, based on the effective rate, at least one candidate page from the plurality of initial pages and extracting a first keyword from the document content of the at least one candidate page; and determining a target page for mounting information to be pushed from the at least one candidate page, based on a matching degree between a second keyword of the information to be pushed and the first keyword.
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225.发明申请公开(公告)号：US20220279242A1
公开(公告)日：2022-09-01
申请号：US17748483
申请日：2022-05-19
Inventor： Yumin XU
IPC: H04N21/443 , G06F9/455 , H04L9/32
Abstract: The present disclosure provides a method and apparatus for processing information, and relates to the fields of cloud computing technology and other technologies. The method can include: allocating a virtualized instance based on a received information verification request; generating an initial video stream containing a virtualized input interface in the virtualized instance based on the information verification request, and sending the initial video stream to a client side to display the virtualized input interface at the client side; obtaining, in response to receiving operation event information being in the virtualized input interface and sent by the client side, an updated video stream based on the operation event information, and sending the updated video stream to the client side; and analyzing and verifying, in response to determining that an operation event corresponding to the operation event information is completed, the operation event information to obtain a verification result.
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Patent Agency Ranking
公开(公告)号：US20220277575A1
公开(公告)日：2022-09-01
申请号：US17743687
申请日：2022-05-13
Inventor： Xia Zhou , Leyi Wang , Qiaoyi Li , Duohao Qin , Minghao Liu
IPC: G06V30/413 , G06V10/75
Abstract: A method and apparatus for detecting a table. The method includes: acquiring a to-be-processed image; inputting the to-be-processed image into a pre-trained deep learning model, and outputting a full table detection branch result, a column detection branch result and a header detection branch result through the deep learning model; where the full table detection branch result represents a detection result for a full table in the to-be-processed image, the column detection branch result represents a detection result for a column in the table in the to-be-processed image, and the header detection branch result represents a detection result for a header in the to-be-processed image; and obtaining a detection result of the table in the to-be-processed image, based on the full table detection branch result, the column detection branch result and the header detection branch result.
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公开(公告)号：US20220270382A1
公开(公告)日：2022-08-25
申请号：US17741780
申请日：2022-05-11
Inventor： Xiaoming MA
Abstract: The present application provides a method and an apparatus of training an image recognition model, a method and an apparatus of recognizing an image, and an electronic device, which relates to a field of an image processing technology, and in particular to artificial intelligence and computer vision technology. A specific implementation scheme of the present disclosure includes: determining a training sample set including a plurality of sample pictures and a text label for each sample picture; extracting an image feature of each sample picture and a semantic feature of each sample picture based on a feature extraction network of a basic image recognition model; and training the basic image recognition model based on the extracted image feature of each sample picture, the extracted semantic feature of each sample picture, the text label for each sample picture, a predetermined image classification loss function, and a predetermined semantic classification loss function.
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公开(公告)号：US20220269659A1
公开(公告)日：2022-08-25
申请号：US17663044
申请日：2022-05-12
Inventor： Yifei Wang , Yang Wang , Yu Wang
IPC: G06F16/215 , G06F16/901
Abstract: The disclosure provides a method for deduplicating entity nodes in a graph database. The method includes: obtaining a set of entity nodes to be deduplicated from the knowledge graph, in which the set includes a plurality of entity nodes; selecting an untraversed entity node from the set as a target entity node; determining a range located by a node identifier corresponding to the target entity node; determining the target entity node that has appeared in traversed entity nodes according to a deduplicating mode corresponding to the range; and deleting the target entity node from the set.
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公开(公告)号：US20220255724A1
公开(公告)日：2022-08-11
申请号：US17730988
申请日：2022-04-27
Inventor： Ji LIU , Qilong LI , Dejing DOU , Chongsheng ZHANG
IPC: H04L9/06 , G06V10/774 , G06V10/10
Abstract: The present disclosure provides a method and apparatus for determining an encryption mask, a method and apparatus for recognizing an image, a method and apparatus for training a model, a device, a storage medium and a computer program product. A specific implementation comprises: acquiring a test image set and an encryption mask set; superimposing an image in the test image set with a mask in the encryption mask set to obtain an encrypted image set; recognizing an image in the encrypted image set using a pre-trained encrypted image recognition model and recognizing the image in the encrypted image set using a pre-trained original image recognition model to obtain a first recognition result; and determining a target encryption mask from the encryption mask set based on the first recognition result.
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公开(公告)号：US20220253575A1
公开(公告)日：2022-08-11
申请号：US17731254
申请日：2022-04-27
Inventor： Kun FANG , Runyao DUAN
Abstract: This disclosure provides a node grouping method and apparatus and an electronic device, and relates to the field of evolutionary computing in quantum computing. The method includes: obtaining a graph of to-be-grouped nodes, wherein the graph of to-be-grouped nodes includes M first nodes; constructing a QAOA (quantum approximate optimization algorithm) node circuit graph based on the graph of to-be-grouped nodes, the node circuit graph including K nodes which including the M first nodes; generating a quantum entangled state of the node circuit graph that includes target quantum states of the K nodes in the node circuit graph; performing a group measurement on each of the K nodes sequentially based on the target quantum states of the K nodes to obtain a target group measurement result of the M first nodes; determining a grouping output result of the M first nodes based on the target group measurement result.
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