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公开(公告)号:US20210216715A1
公开(公告)日:2021-07-15
申请号:US17023915
申请日:2020-09-17
Inventor: Shu WANG , Kexin REN , Xiaohan ZHANG , Zhifan FENG , Yang ZHANG , Yong ZHU
IPC: G06F40/295 , G06F40/253 , G06F16/33 , G06N20/00 , G06N5/04
Abstract: A method for mining an entity focus in a text may include: performing word and phrase feature extraction on an input text; inputting an extracted word and phrase feature into a text coding network for coding, to obtain a coding sequence of the input text; processing the coding sequence of the input text using a core entity labeling network to predict a position of a core entity in the input text; extracting a subsequence corresponding to the core entity in the input text from the coding sequence of the input text, based on the position of the core entity in the input text; and predicting a position of a focus corresponding to the core entity in the input text using a focus labeling network, based on the coding sequence of the input text and the subsequence corresponding to the core entity in the input text.
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公开(公告)号:US20200294267A1
公开(公告)日:2020-09-17
申请号:US16751011
申请日:2020-01-23
Inventor: Xiaohan ZHANG , Ye XU , Kexin REN , Zhifan FENG , Yang ZHANG , Yong ZHU
IPC: G06T7/73
Abstract: Embodiments of the present provide a method and a device for processing an image, server and storage medium. The method includes: determining, based on an object type of an object in an image to be processed, a feature expression of the object in the image to be processed; and determining an entity associated with the object in the image to be processed based on the feature expression of the object in the image to be processed and a feature expression of an entity in a knowledge graph.
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公开(公告)号:US20210216712A1
公开(公告)日:2021-07-15
申请号:US17149185
申请日:2021-01-14
Inventor: Shu WANG , Kexin REN , Xiaohan ZHANG , Zhifan FENG , Yang ZHANG , Yong ZHU
IPC: G06F40/279 , G06F17/16 , G06F17/18
Abstract: A method and an apparatus for labelling a core entity, and a related electronic device are proposed. A character vector sequence, a first word vector sequence and an entity vector sequence corresponding to a target text are obtained by performing character vector mapping, word vector mapping and entity vector mapping are performed on the target text, to obtain a target vector sequence corresponding to the target text. A first probability that each character of the target text is a starting character of a core entity and a second probability that each character of the target text is an ending character of a core entity are determined by encoding and decoding the target vector sequence. One or more core entities of the target text are determined based on the first probability and the second probability.
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