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公开(公告)号：US20230029687A1
公开(公告)日：2023-02-02
申请号：US17655772
申请日：2022-03-21
Inventor： Jun Xu , Zeming Liu , Zeyang Lei , Zhengyu Niu , Hua Wu , Haifeng Wang
Abstract: The present disclosure provides a dialog method and system, an electronic device and a storage medium, and relates to the field of artificial intelligence (AI) technologies such as deep learning and natural language processing. A specific implementation scheme involves: rewriting a corresponding dialog state based on received dialog information of a user; determining to-be-used dialog action information based on the dialog information of the user and the dialog state; and generating a reply statement based on the dialog information of the user and the dialog action information. According to the present disclosure, the to-be-used dialog action information can be determined based on the dialog information of the user and the dialog state; and then the reply statement is generated based on the dialog action information, thereby providing an efficient dialog scheme.
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472.发明申请公开(公告)号：US20230022550A1
公开(公告)日：2023-01-26
申请号：US17937979
申请日：2022-10-04
Inventor： Hanqi GUO , Zhibin HONG , Tianshu HU
Abstract: An image processing method includes: obtaining a first latent code by encoding an image to be edited in a Style (S) space of a Generative Adversarial Network (GAN), in which the GAN is a StyleGAN; encoding the text description information, obtaining a text code of a Contrastive Language-Image Pre-training (CLIP) model, and obtaining a second latent code by mapping the text code on the S space; obtaining a target latent code that satisfies distance requirements by performing distance optimization on the first latent code and the second latent code; and generating a target image based on the target latent code.
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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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474.发明申请公开(公告)号：US20230016403A1
公开(公告)日：2023-01-19
申请号：US17934876
申请日：2022-09-23
Inventor： Zhaoji WANG , Fang HUANG , Ye JIANG , Yabing SHI , Chunguang CHAI , Yong ZHU
IPC: G06F16/9537 , G06F40/226 , G06F40/30
Abstract: The present disclosure provides a method of processing triple data, a method of training a triple data processing model, an electronic device, and a storage medium. A specific implementation solution includes: performing a triple data extraction on text data to obtain a plurality of field data; normalizing the plurality of field data to determine target triple data, wherein the target triple data contains entity data, entity relationship data, and association entity data; and verifying a confidence level of the target triple data to obtain a verification result.
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475.发明申请公开(公告)号：US20230013796A1
公开(公告)日：2023-01-19
申请号：US17866104
申请日：2022-07-15
Inventor： Wenbin JIANG , Zhifan FENG , Xinwei FENG , Yajuan LYU , Yong ZHU
Abstract: The present disclosure provides a method and apparatus for acquiring a pre-trained model, an electronic device and a storage medium, and relates to the fields such as deep learning, natural language processing, knowledge graph and intelligent voice. The method may include: acquiring a pre-training task set composed of M pre-training tasks, M being a positive integer greater than 1, the pre-training tasks including: N question-answering tasks corresponding to different question-answering forms, N being a positive integer greater than 1 and less than or equal to M; and jointly pre-training the pre-trained model according to the M pre-training tasks.
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Patent Agency Ranking
公开(公告)号：US20230012881A1
公开(公告)日：2023-01-19
申请号：US17933191
申请日：2022-09-19
Inventor： Zhihui Yin , Biao Cao
Abstract: A method for reading data includes: receiving a data reading request; acquiring a data writing file in response to determining that the data reading request triggers a reading-writing conflict event, in which the data writing file includes a writing version number and transaction information; obtaining an adjusted writing version number by adjusting the writing version number based on the request version number in response to determining that the data reading request satisfies a version adjustment condition based on the request version number, the writing version number and the transaction information; and performing data reading based on the data reading address and the adjusted writing version number.
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477.发明申请公开(公告)号：US20230011253A1
公开(公告)日：2023-01-12
申请号：US17948478
申请日：2022-09-20
Inventor： Zhongyi Wang
Abstract: A holographic projection system, a method and apparatus for processing a holographic projection image, an electronic device, a computer readable storage medium, and a computer program product are provided. The system includes a near field communication information storage, for storing image content configuration information readable by a near field communication mechanism; and a holographic projection body provided with a near field communication scanner, for reading the image content configuration information in the near field communication information memory through the near field communication scanner and presenting a holographic projection corresponding to the image content configuration information.
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公开(公告)号：US20230009941A1
公开(公告)日：2023-01-12
申请号：US17939697
申请日：2022-09-07
Inventor： Juncai PENG , Yujuan CHENG , Chunwei YAN , Qiwen LIU
IPC: G06N3/08
Abstract: A method of processing data for a target model, an electronic device, and a storage medium, which relate to a field of deep learning. The method of processing data for a target model includes: acquiring the target model, wherein the target model includes at least one network layer, and each network layer of the at least one network layer includes a plurality of model parameters; for a target network layer in the at least one network layer, dividing the plurality of model parameters of the target network layer into a plurality of groups; and adjusting a data type of the model parameters in the plurality of groups from a first data type to a second data type respectively, so as to obtain a processed target model.
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公开(公告)号：US20230008897A1
公开(公告)日：2023-01-12
申请号：US17932598
申请日：2022-09-15
Inventor： Wenbin JIANG , Yajuan LYU , Yong ZHU , Hua WU , Haifeng WANG
IPC: G06F16/735
Abstract: An information search method includes: obtaining search words at least including a question to be searched and obtaining an initial text vector representation of the search words; obtaining a video corresponding to the search words, and obtaining multi-modality vector representations of the video; starting from the initial text vector representation, performing N rounds of interaction between the video and the search words based on the multi-modality vector representations and a text vector representation of the search words of a current round, to generate a target fusion vector representation, where N is an integer greater than or equal to 1; and obtaining target video frames matching the question to be searched by annotating the video based on the target fusion vector representation.
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公开(公告)号：US20230005466A1
公开(公告)日：2023-01-05
申请号：US17820339
申请日：2022-08-17
Inventor： Zhengkun GAO , Junteng ZHANG , Tao SUN , Lei JIA
IPC: G10L13/08 , G10L13/047
Abstract: The disclosure provides a speech synthesis method, and an electronic device. The technical solution is described as follows. A text to be synthesized and speech features of a target user are obtained. Predicted first acoustic features based on the text to be synthesized and the speech features are obtained. A target template audio is obtained from a template audio library based on the text to be synthesized. Second acoustic features of the target template audio are extracted. Target acoustic features are generated by splicing the first acoustic features and the second acoustic features. Speech synthesis is performed on the text to be synthesized based on the target acoustic features and the speech features, to generate a target speech of the text to be synthesized.
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