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公开(公告)号：US11651164B2
公开(公告)日：2023-05-16
申请号：US17036609
申请日：2020-09-29
Inventor： Zhijie Liu , Qi Wang , Zhifan Feng , Zhou Fang , Chunguang Chai , Yong Zhu
IPC: G06F40/30 , G06F16/435 , G06F16/2458 , G06F40/253 , G06F40/279
CPC classification number: G06F40/30 , G06F16/2465 , G06F16/435 , G06F40/253 , G06F40/279 , G06F2216/03
Abstract: The present disclosure provides a method, a device, an equipment and a storage medium for mining a topic concept. The method includes: acquiring a plurality of candidate topic concepts based on a query; performing word segmentation on the plurality of candidate topic concepts and performing part-of-speech tagging on words obtained after performing the word segmentation, to obtain a part-of-speech sequence of each of the plurality of candidate topic concepts; and filtering the plurality of candidate topic concepts based on the part-of-speech sequence, to filter out a topic concept corresponding to a target part-of-speech sequence among the plurality of candidate topic concepts, in which a proportion of accurate topic concepts in the target part-of-speech sequence is lower than or equal to a first preset threshold, or a proportion of inaccurate topic concepts in the target part-of-speech sequence is higher than or equal to a second preset threshold.
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公开(公告)号：US20210326535A1
公开(公告)日：2021-10-21
申请号：US17036609
申请日：2020-09-29
Inventor： Zhijie Liu , Qi Wang , Zhifan Feng , Zhou Fang , Chunguang Chai , Yong Zhu
IPC: G06F40/30 , G06F40/253 , G06F40/279 , G06F16/2458 , G06F16/435
Abstract: The present disclosure provides a method, a device, an equipment and a storage medium for mining a topic concept. The method includes: acquiring a plurality of candidate topic concepts based on a query; performing word segmentation on the plurality of candidate topic concepts and performing part-of-speech tagging on words obtained after performing the word segmentation, to obtain a part-of-speech sequence of each of the plurality of candidate topic concepts; and filtering the plurality of candidate topic concepts based on the part-of-speech sequence, to filter out a topic concept corresponding to a target part-of-speech sequence among the plurality of candidate topic concepts, in which a proportion of accurate topic concepts in the target part-of-speech sequence is lower than or equal to a first preset threshold, or a proportion of inaccurate topic concepts in the target part-of-speech sequence is higher than or equal to a second preset threshold.
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公开(公告)号：US11847164B2
公开(公告)日：2023-12-19
申请号：US17213940
申请日：2021-03-26
Inventor： Shu Wang , Kexin Ren , Xiaohan Zhang , Zhifan Feng , Chunguang Chai , Yong Zhu
IPC: G06F17/00 , G06F16/78 , G06F16/33 , G06F40/295 , G06F40/30 , G06N3/08 , G06V20/40 , G06V40/16 , G06V10/764 , G06V10/82
CPC classification number: G06F16/78 , G06F16/3344 , G06F40/295 , G06F40/30 , G06N3/08 , G06V10/764 , G06V10/82 , G06V20/46 , G06V20/48 , G06V40/172
Abstract: A method, electronic device and storage medium for generating information are disclosed. The method includes: acquiring a plurality of tag entity words from a target video, the tag entity words including a person entity word, a work entity word, a video category entity word, and a video core entity word, the video core entity word including an entity word for characterizing a content related to the target video; linking, for a tag entity word among the plurality of tag entity words, the tag entity word to a node of a preset knowledge graph; determining semantic information of the target video based on a linking result of each of the tag entity words; and structuring the semantic information of the target video based on a relationship between the node and an edge of the knowledge graph, to obtain structured semantic information of the target video.
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公开(公告)号：US11557120B2
公开(公告)日：2023-01-17
申请号：US17350731
申请日：2021-06-17
Inventor： Qi Wang , Zhifan Feng , Hu Yang , Feng He , Chunguang Chai , Yong Zhu
IPC: G06V20/40 , G06V40/16 , G06V10/426 , G06K9/62 , G06V30/10
Abstract: Technical solutions for video event recognition relate to the fields of knowledge graphs, deep learning and computer vision. A video event graph is constructed, and each event in the video event graph includes: M argument roles of the event and respective arguments of the argument roles, with M being a positive integer greater than one. For a to-be-recognized video, respective arguments of the M argument roles of a to-be-recognized event corresponding to the video are acquired. According to the arguments acquired, an event is selected from the video event graph as a recognized event corresponding to the video.
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公开(公告)号：US11995117B2
公开(公告)日：2024-05-28
申请号：US17069410
申请日：2020-10-13
Inventor： Qi Wang , Zhifan Feng , Zhijie Liu , Chunguang Chai , Yong Zhu
CPC classification number: G06F16/45
Abstract: A theme classification method based on multimodality is related to a field of a knowledge map. The method includes obtaining text information and non-text information of an object to be classified. The non-text information includes at least one of visual information and audio information. The method also includes determining an entity set of the text information based on a pre-established knowledge base, and then extracting a text feature of the object based on the text information and the entity set. The method also includes determining a theme classification of the object based on the text feature and a non-text feature of the object.
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Patent Agency Ranking
公开(公告)号：US11704492B2
公开(公告)日：2023-07-18
申请号：US17213927
申请日：2021-03-26
Inventor： Qi Wang , Zhifan Feng , Zhijie Liu , Siqi Wang , Chunguang Chai , Yong Zhu
IPC: G06F40/295 , G06F16/36 , G06Q10/04 , G06F16/33 , G06F40/30
CPC classification number: G06F40/295 , G06F16/3344 , G06F40/30
Abstract: A method, apparatus, device, and storage medium for entity linking is disclosed. The method includes: acquiring a target text; determining at least one entity mention included in the target text; determining a candidate entity corresponding to each of the entity mention based on a preset knowledge base; determining a reference text of each of the candidate entity and determining additional feature information of each of the candidate entity; and determining an entity linking result based on the target text, each of the reference text, and each piece of the additional feature information, wherein determining the entity linking result includes determining a probability of linking each of the candidate entity to the entity mention based on a splicing of a first embedding vector and a second embedding vector of the target text and a splicing of a first embedding vector and a second embedding vector of each respective reference text.
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公开(公告)号：US20210216717A1
公开(公告)日：2021-07-15
申请号：US17213940
申请日：2021-03-26
Inventor： Shu Wang , Kexin Ren , Xiaohan Zhang , Zhifan Feng , Chunguang Chai , Yong Zhu
IPC: G06F40/295 , G06K9/00 , G06F40/30 , G06N3/08 , G06F16/33
Abstract: A method, electronic device and storage medium for generating information are disclosed. The method includes: acquiring a plurality of tag entity words from a target video, the tag entity words including a person entity word, a work entity word, a video category entity word, and a video core entity word, the video core entity word including an entity word for characterizing a content related to the target video; linking, for a tag entity word among the plurality of tag entity words, the tag entity word to a node of a preset knowledge graph; determining semantic information of the target video based on a linking result of each of the tag entity words; and structuring the semantic information of the target video based on a relationship between the node and an edge of the knowledge graph, to obtain structured semantic information of the target video.
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公开(公告)号：US11727216B2
公开(公告)日：2023-08-15
申请号：US17117553
申请日：2020-12-10
Inventor： Zhijie Liu , Qi Wang , Zhifan Feng , Chunguang Chai , Yong Zhu
IPC: G06F17/00 , G06F40/30 , G06F40/295 , G06F17/16
CPC classification number: G06F40/30 , G06F17/16 , G06F40/295
Abstract: A method, apparatus, device, and storage medium for linking an entity, relates to the technical fields of knowledge graph and deep learning are provided. The method may include: acquiring a target text; determining at least one entity mention included in the target text and a candidate entity corresponding to each entity mention; determining an embedding vector of each candidate entity based on the each candidate entity and a preset entity embedding vector determination model; determining context semantic information of the target text based on the target text and each embedding vector; determining type information of the at least one entity mention; and determining an entity linking result of the at least one entity mention, based on the each embedding vector, the context semantic information, and each type information.
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公开(公告)号：US11490170B2
公开(公告)日：2022-11-01
申请号：US17243055
申请日：2021-04-28
Inventor： Hu Yang , Shu Wang , Xiaohan Zhang , Qi Wang , Zhifan Feng , Chunguang Chai
IPC: H04N21/845 , G06F16/783 , G06F16/78 , G06V40/16
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.
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公开(公告)号：US20210374576A1
公开(公告)日：2021-12-02
申请号：US17132704
申请日：2020-12-23
Inventor： Zhou Fang , Yabing Shi , Ye Jiang , Chunguang Chai
Abstract: A medical fact verification method and apparatus, an electronic device, and a storage medium are provided. The medical fact verification method comprises: acquiring a medical fact to be verified and candidate evidence, wherein the medical fact to be verified includes a target entity, a target attribute and a target attribute value; inputting the target entity, the target attribute value and the candidate evidence into an attribute decision model to obtain a decision attribute; inputting the target entity, the target attribute value and the candidate evidence into a relevancy decision model to obtain a relevancy of the candidate evidence in a case that the target attribute and the decision attribute are the same; and determining that the medical fact to be verified is correct in a case that the relevancy of the candidate evidence accords with a preset condition.
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