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公开(公告)号：EP4044045A1
公开(公告)日：2022-08-17
申请号：EP20767703.0
申请日：2020-04-07
发明人： WANG, Quan , HUANG, Pingping , WANG, Haifeng , JIANG, Wenbin , LYU, Yajuan , ZHU, Yong , WU, Hua
IPC分类号： G06F16/36
摘要： structure context model.
19. An electronic device, comprising:
at least one processor; and
a memory, communicatively coupled to the at least one processor,
wherein the memory is configured to store instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is caused to execute the method for generating the vector representation of the knowledge graph according to any one of claims 1-9.
20. A non-transitory computer readable storage medium having computer instructions stored thereon, wherein the computer instructions are configured to cause a computer to execute the method for generating the vector representation of the knowledge graph according to any one of claims 1-9.-
2.发明公开
公开(公告)号：EP3846050A2
公开(公告)日：2021-07-07
申请号：EP21165621.0
申请日：2021-03-29
发明人： HUANG, Pingping , WANG, Quan , JIANG, Wenbin , YUAN, Pengcheng
IPC分类号： G06F16/901
摘要： Embodiments of the present disclosure disclose a method, apparatus, device, and storage medium for expanding data, and relate to the field of knowledge graph technology. A specific implementation of the method includes: acquiring a triplet from a knowledge graph; mining a relationship path equivalent to a relationship in the triplet from the knowledge graph, a subject in the triplet being used as a start point of the relationship path, and an object in the triplet being used as an end point of the relationship path; and expanding the triplet based on the relationship path to generate an expanded triplet. This implementation expands the triplet in the knowledge graph, and strengthens the association between the subject and the object in the triplet in a larger context, such that the association between the subject and the object in the triplet is more global.
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公开(公告)号：EP3709207A1
公开(公告)日：2020-09-16
申请号：EP20150895.9
申请日：2020-01-09
发明人： HUANG, Jianhui , QIAO, Min , HUANG, Pingping , ZHU, Yong , LYU, Yajuan , LI, Ying
摘要： Embodiments of the present disclosure disclose a visual question answering model, an electronic device and a storage medium. The visual question answering model includes an image encoder and a text encoder. The text encoder is configured to perform pooling on a word vector sequence of a question text inputted, so as to extract a semantic representation vector of the question text; and the image encoder is configured to extract an image feature of a given image in combination with the semantic representation vector. By processing a text vector through pooling, the embodiments according to the present disclosure ensure that model training efficiency is effectively improved on the premise of a small loss of prediction accuracy of the visual question answering model, and thus the model is beneficial to the use in engineering.
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公开(公告)号：EP3629253A1
公开(公告)日：2020-04-01
申请号：EP19191673.3
申请日：2019-08-14
发明人： HUANG, Pingping , QIAO, Min
IPC分类号： G06N3/08
摘要： Embodiments of the present disclosure are directed to a method and an apparatus for generating training data for a visual question answering (VQA) system, and a computer readable medium. The method includes: obtaining (210) a first set of training data of the visual question answering system, the first set of training data comprising a first question for an image in the visual question answering system and a first answer corresponding to the first question; obtaining (220) information related to the image; generating (230) a second question corresponding to the first answer based on the information to obtain a second set of training data for the image in the visual question answering system, the second set of training data comprising the second question and the first answer. Embodiments of the present disclosure are capable of automatically, cost-effectively and efficiently obtaining a large amount of training data for the VQA system.
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5.发明公开
公开(公告)号：EP3846050A3
公开(公告)日：2021-10-27
申请号：EP21165621.0
申请日：2021-03-29
发明人： HUANG, Pingping , WANG, Quan , JIANG, Wenbin , YUAN, Pengcheng
IPC分类号： G06F16/901 , G06N3/04 , G06N3/08 , G06N5/02
摘要： Embodiments of the present disclosure disclose a method, apparatus, device, and storage medium for expanding data, and relate to the field of knowledge graph technology. A specific implementation of the method includes: acquiring a triplet from a knowledge graph; mining a relationship path equivalent to a relationship in the triplet from the knowledge graph, a subject in the triplet being used as a start point of the relationship path, and an object in the triplet being used as an end point of the relationship path; and expanding the triplet based on the relationship path to generate an expanded triplet. This implementation expands the triplet in the knowledge graph, and strengthens the association between the subject and the object in the triplet in a larger context, such that the association between the subject and the object in the triplet is more global.
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6.发明公开
公开(公告)号：EP3690673A1
公开(公告)日：2020-08-05
申请号：EP19210667.2
申请日：2019-11-21
发明人： HUANG, Pingping , QIAO, Min , LI, Ying , HUANG, Jianhui
IPC分类号： G06F16/332
摘要： Embodiments of the present disclosure provide a method, apparatus, electronic device, and computer readable storage medium for image-based data processing. The method includes: determining, in response to an inputted query for an image, an attribute associated with an object presented in the image based on a preset mapping between the object and the attribute, further includes: determining a degree of correlation between the object and the query based on the object and the attribute, and still further includes: providing a response to the query based on the degree of correlation between the object and the query. The embodiments of the present disclosure can improve the performance of the system for image-based data processing.
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7.发明公开
公开(公告)号：EP3629316A1
公开(公告)日：2020-04-01
申请号：EP19191466.2
申请日：2019-08-13
发明人： HUANG, Pingping , QIAO, Min
摘要： Embodiments of the present disclosure relate to a method, an apparatus, a device and a computer readable medium for generating VQA training data. The method comprises: obtaining a first group of training data of the VQA system, the first group of training data including a first question for an image in the VQA system and a first answer corresponding to the first question; determining a second question associated with the first question in term of semantic; and determining a second answer corresponding to the second question based on the first question and the first answer, to obtain a second group of training data for the image in the VQA system, the second group of training data including the second question and the second answer.
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