公开(公告)号：US20210216712A1

公开(公告)日：2021-07-15

申请号：US17149185

申请日：2021-01-14

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

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.

公开(公告)号：US20190220752A1

公开(公告)日：2019-07-18

申请号：US16213610

申请日：2018-12-07

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Ye XU ,  Zhifan FENG ,  Chao LU ,  Yang ZHANG ,  Zhou FANG ,  Shu WANG ,  Yong ZHU ,  Ying LI

IPC: G06N5/02 ,  G06N5/04 ,  G06N7/00 ,  G06F16/28 ,  G06F16/901 ,  G06F16/951 ,  G06F16/955 ,  G06F16/2458 ,  G06K9/62

CPC classification number: G06N5/022 ,  G06F16/2468 ,  G06F16/288 ,  G06F16/9024 ,  G06F16/951 ,  G06F16/955 ,  G06K9/6215 ,  G06K9/6276 ,  G06N5/04 ,  G06N7/005

Abstract: Embodiments of the disclosure disclose a method, apparatus, server, and storage medium for incorporating a structured entity, wherein the method for incorporating a structured entity can comprise: selecting a candidate entity associated with a to-be-incorporated structured entity from a knowledge graph, determining the to-be-incorporated structured entity being an associated entity based on prior attribute information of a category of the candidate entity and a preset model, merging the associated entity and the candidate entity, and incorporating the associated entity into the knowledge graph. The embodiments can select a candidate entity, and then integrate a preset model using prior knowledge, which can effectively improve the efficiency and accuracy in associating entities, and reduce the amount of calculation, to enable the structured entity to be simply and efficiently incorporated into the knowledge graph.

公开(公告)号：US20210250666A1

公开(公告)日：2021-08-12

申请号：US17243055

申请日：2021-04-28

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Hu YANG ,  Shu WANG ,  Xiaohan ZHANG ,  Qi WANG ,  Zhifan FENG ,  Chunguang CHAI

IPC: H04N21/845 ,  G06F16/78 ,  G06F16/783 ,  G06K9/00

Abstract: The disclosure provides a method for processing a video, an electronic device, and a computer storage medium. The method includes: determining a plurality of first identifiers related to a first object based on a plurality of frames including the first object in a target video; determining a plurality of attribute values associated with the plurality of first identifiers based on a knowledge base related to the first object; determining a set of frames from the plurality of frames, in which one or more attribute values associated with one or more first identifiers determined from each one of the set of frames are predetermined values; and splitting the target video into a plurality of video clips based on positions of the set of frames in the plurality of frames.

公开(公告)号：US20210216715A1

公开(公告)日：2021-07-15

申请号：US17023915

申请日：2020-09-17

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

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.