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1.
公开(公告)号:US12211304B2
公开(公告)日:2025-01-28
申请号:US17200448
申请日:2021-03-12
Inventor: Yulin Li , Xiameng Qin , Chengquan Zhang , Junyu Han , Errui Ding , Tian Wu , Haifeng Wang
IPC: G06F16/901 , G06N3/047 , G06N5/04 , G06V10/22 , G06V10/80 , G06V30/262 , G06V30/414 , G06V10/24
Abstract: Embodiments of the present disclosure provide a method and apparatus for performing a structured extraction on a text, a device and a storage medium. The method may include: performing a text detection on an entity text image to obtain a position and content of a text line of the entity text image; extracting multivariate information of the text line based on the position and the content of the text line; performing a feature fusion on the multivariate information of the text line to obtain a multimodal fusion feature of the text line; performing category and relationship reasoning based on the multimodal fusion feature of the text line to obtain a category and a relationship probability matrix of the text line; and constructing structured information of the entity text image based on the category and the relationship probability matrix of the text line.
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公开(公告)号:US11328133B2
公开(公告)日:2022-05-10
申请号:US16585269
申请日:2019-09-27
Inventor: Hao Xiong , Zhongjun He , Xiaoguang Hu , Hua Wu , Zhi Li , Zhou Xin , Tian Wu , Haifeng Wang
Abstract: The present disclosure provides a translation processing method, a translation processing device, and a device. The first speech signal of the first language is obtained, and the speech feature vector of the first speech signal is extracted based on the preset algorithm. Further, the speech feature vector is input into the pre-trained end-to-end translation model for conversion from the first language speech to the second language text for processing, and the text information of the second language corresponding to the first speech signal is obtained. Moreover, speech synthesis is performed on the text information of the second language, and the corresponding second speech signal is obtained and played.
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公开(公告)号:US11640551B2
公开(公告)日:2023-05-02
申请号:US16102837
申请日:2018-08-14
Inventor: Tian Wu , Wensong He , Lei Han , Xiao Zhou
IPC: G06N20/00 , G06F17/18 , G06F18/2413 , G06F18/21 , G06F18/2411 , G06F18/214
Abstract: The present disclosure proposes a method and an apparatus for recommending sample data. The method may include: inputting a plurality of pieces of sample data to be classified into at least one preset classification model, and acquiring a classifying probability of classifying each piece of sample data into each classification model; acquiring a first distance between each piece of sample data and a classifying boundary of each classification model according to the classifying probability of classifying the piece of sample data into the classification model, in which the classifying boundary of the classification model is configured to distinguish positive and negative sample data; computing a target distance for each piece of sample data according to the first distance between each piece of sample data and the classifying boundary of each classification model.
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公开(公告)号:US11954011B2
公开(公告)日:2024-04-09
申请号:US17627090
申请日:2020-10-28
Inventor: Yongkang Xie , Ruyue Ma , Zhou Xin , Hao Cao , Kuan Shi , Yu Zhou , Yashuai Li , En Shi , Zhiquan Wu , Zihao Pan , Shupeng Li , Mingren Hu , Tian Wu
CPC classification number: G06F11/3624 , G06F8/20 , G06F8/35 , G06F8/433 , G06F9/44505
Abstract: An apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium are provided. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on a file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface.
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5.
公开(公告)号:US20210326762A1
公开(公告)日:2021-10-21
申请号:US17351194
申请日:2021-06-17
Inventor: Zhihua Wu , Dianhai Yu , Xuefeng Yao , Wei Tang , Xinxuan Wu , Mo Cheng , Lin Ma , Yanjun Ma , Tian Wu , Haifeng Wang
IPC: G06N20/00
Abstract: The present disclosure discloses an apparatus and method for distributedly training a model, an electronic device, and a computer readable storage medium. The apparatus may include: a distributed reader, a distributed trainer and a distributed parameter server that are mutually independent. A reader in the distributed reader is configured to acquire a training sample, and load the acquired training sample to a corresponding trainer in the distributed trainer; the trainer in the distributed trainer is configured to perform model training based on the loaded training sample to obtain gradient information; and a parameter server in the distributed parameter server is configured to update a parameter of an initial model based on the gradient information of the distributed trainer to obtain a trained target model.
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6.
公开(公告)号:US20210201182A1
公开(公告)日:2021-07-01
申请号:US17200448
申请日:2021-03-12
Inventor: Yulin LI , Xiameng Qin , Chengquan Zhang , Junyu Han , Errui Ding , Tian Wu , Haifeng Wang
IPC: G06N5/04 , G06N3/04 , G06F16/901
Abstract: Embodiments of the present disclosure provide a method and apparatus for performing a structured extraction on a text, a device and a storage medium. The method may include: performing a text detection on an entity text image to obtain a position and content of a text line of the entity text image; extracting multivariate information of the text line based on the position and the content of the text line; performing a feature fusion on the multivariate information of the text line to obtain a multimodal fusion feature of the text line; performing category and relationship reasoning based on the multimodal fusion feature of the text line to obtain a category and a relationship probability matrix of the text line; and constructing structured information of the entity text image based on the category and the relationship probability matrix of the text line.
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