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公开(公告)号：EP3851977A1
公开(公告)日：2021-07-21
申请号：EP21151532.5
申请日：2021-01-14
发明人： HE, Wei , LI, Shuangjie , SHI, Yabing , JIANG, Ye , ZHANG, Yang , ZHU, Yong
IPC分类号： G06F16/36 , G06F16/901
摘要： The disclosure provides a method and an apparatus for extracting SPO triples, an electronic device, and a storage medium, relates to the field of artificial intelligence technologies. The solution may include: inputting annotated training data into each of multiple extraction models; predicting SPO triples satisfying defined relations in the annotated training data through each of multiple extraction models; combining the predicted SPO triples corresponding to each of multiple extraction models; extracting SPO triples satisfying screening conditions from the combined SPO triples; mining SPO triples with missing annotations from the annotated training data based on the SPO triples satisfying screening conditions, in response to that the SPO triples satisfying screening conditions do not satisfy output conditions; supplementing the SPO triples with missing annotations into the annotated training data; repeating the inputting, predicting, combining, extracting, mining and supplementing until the SPO triples satisfying screening conditions satisfy the output conditions.
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公开(公告)号：EP3851975A1
公开(公告)日：2021-07-21
申请号：EP21151156.3
申请日：2021-01-12
发明人： LIU, Zhijie , WANG, Qi , FENG, Zhifan , ZHANG, Yang , ZHU, Yong
摘要： A method and an apparatus for generating a text topic, an electronic device, a storage medium, and a computer program product are disclosed. The method includes: obtaining entities included in a text to be processed by mining the entities in the text to be processed; determining each candidate entity in a knowledge graph corresponding to each entity included in the text to be processed through entity links; determining a set of core entities corresponding to the text to be processed by clustering candidate entities; determining each candidate topic included in the text to be processed based on a matching degree between each keyword in the text to be processed and each reference topic in a preset topic graph; and obtaining the topic of the text to be processed from the set of core entities and the candidate topics based on association between each core entity in the set of core entities and the text to be processed as well as association between each candidate topic and the text to be processed.
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公开(公告)号：EP3709212A1
公开(公告)日：2020-09-16
申请号：EP20150891.8
申请日：2020-01-09
发明人： ZHANG, Xiaohan , XU, Ye , REN, Kexin , FENG, Zhifan , ZHANG, Yang , ZHU, Yong
IPC分类号： G06K9/00
摘要： Embodiments of the present provide a method and a device for processing an image, server and storage medium. The method includes: determining (110), 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 (120) 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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24.发明公开
公开(公告)号：EP3696746A1
公开(公告)日：2020-08-19
申请号：EP19210648.2
申请日：2019-11-21
发明人： ZHANG, Yilin , YANG, Tianxing , SONG, Xunchao , ZHU, Yong
IPC分类号： G06Q10/06
摘要： Embodiments of the present disclosure relate to a method and apparatus for determining description information, an electronic device and a computer readable storage medium. The method includes: determining a feature representation of received query information. The method further includes determining an element representation matching the feature representation in an event element library, the element representation being generated on the basis of an event recorded in a knowledge base. In addition, the method further includes: acquiring description information of an event corresponding to the matching element representation from the knowledge base; and determining description information corresponding to the query information on the basis of the acquired description information. The technical solution of the present disclosure may determine a processing method for decision-making work accurately and automatically, thereby significantly improving the working efficiency and providing more valuable references for users inside and outside the industry.
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公开(公告)号：EP3690759A1
公开(公告)日：2020-08-05
申请号：EP20153459.1
申请日：2020-01-23
发明人： WANG, Zhaoyu , SHI, Yabing , LIANG, Haijin , JIANG, Ye , ZHANG, Yang , ZHU, Yong
摘要： Embodiments of the present disclosure relate to a method, an apparatus and a device for constructing a data model, and a medium. The method for constructing the data model includes obtaining (210) a first attribute set associated with an entity type. The method further includes aligning (220) a plurality of attributes with a same semantics in the first attribute set to a same attribute, to generate a second attribute set associated with the entity type, attributes in the second attribute set having different semantics. The method further includes constructing (230) the data model associated with the entity type based on the entity type and the second attribute set. Embodiments of the present disclosure may identify synonyms attributes with different expressions in data from different sources. Embodiments of the present disclosure may efficiently construct the data model while effectively reducing labor costs.
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26.发明公开
公开(公告)号：EP4123474A1
公开(公告)日：2023-01-25
申请号：EP22183722.2
申请日：2022-07-08
发明人： JIANG, Wenbin , LYU, Yajuan , ZHU, Yong , WU, Hua , WANG, Haifeng
IPC分类号： G06F16/2452
摘要： The present disclosure discloses a method for acquiring a structured question-answering (QA) model, a QA method and corresponding apparatuses, and relates to knowledge graph and deep learning technologies in the field of artificial intelligence technologies. A specific implementation solution involves: acquiring training samples corresponding to N structured QA database types, the training samples including question samples, information of the structured QA database types and query instruction samples used by the question samples to query structured QA databases of the types, N being an integer greater than 1; and training a text generation model by using the training samples to obtain the structured QA model, wherein the question samples and the information of the structured QA database types are taken as input to the text generation model, and the query instruction samples are taken as target output of the text generation model. A QA effect can be improved through the technical solutions according to the present disclosure.
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27.发明公开
公开(公告)号：EP4113354A3
公开(公告)日：2023-01-18
申请号：EP22185752.7
申请日：2022-07-19
发明人： LIU, Tongyang , WANG, Shu , CHANG, Wanli , ZHENG, Wei , FENG, Zhifan , CHAI, Chunguang , ZHU, Yong
IPC分类号： G06F40/216 , G06F40/30 , G06F40/117 , G06F40/137 , G06F40/289
摘要： A method for generating a pre-trained language model, includes: obtaining sample files; obtaining typography structure information and text information of the sample files by parsing the sample files; obtaining a plurality of task models of a pre-trained language model; obtaining a trained pre-trained language model by jointly training the pre-trained language model and the plurality of task models according to the typography structure information and the text information; and generating a target pre-trained language model by fine-tuning the trained pre-trained language model according to the typography structure information and the text information.
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公开(公告)号：EP3905146A1
公开(公告)日：2021-11-03
申请号：EP20212230.5
申请日：2020-12-07
发明人： LI, Qian , SHI, Yabing , JIANG, Ye , CHAI, Chunguang , ZHU, Yong
IPC分类号： G06N5/02
摘要： The present disclosure discloses a method, apparatus, device, and storage medium for constructing a knowledge graph, relates to the field of data processing, and specifically to artificial intelligence technology. A specific implementation is:
determining a scene and a scene element of the scene;
determining a target tag from attribute tags based on an association relationship between an entity and the scene element, and an association relationship between the entity and each of the attribute tags; and establishing an edge between a scene node and a target tag node, to obtain a knowledge graph including scene information. Embodiments of the present disclosure provide a method, apparatus, device, and storage medium for constructing a knowledge graph, which enrich the knowledge in the knowledge graph, and enable the knowledge graph to generate greater application values in intelligent information services such as intelligent search, intelligent Q&A, or personalized recommendation.-
29.发明公开
公开(公告)号：EP3893142A1
公开(公告)日：2021-10-13
申请号：EP20201853.7
申请日：2020-10-14
发明人： JIANG, Wenbin , ZHOU, Huanyu , TIAN, Meng , LI, Ying , FENG, Xinwei , SONG, Xunchao , YUAN, Pengcheng , LV, Yajuan , ZHU, Yong
IPC分类号： G06F40/30
摘要： The present disclosure discloses a question analysis method, a device, a knowledge base question answering system and an electronic equipment. The method includes: analyzing a question to obtain N linearized sequences, N being an integer greater than 1; converting the N linearized sequences into N network topology maps; separately calculating a semantic matching degree of each of the N network topology maps to the question; and selecting a network topology map having a highest semantic matching degree to the question as a query graph of the question from the N network topology maps. According to the technology of the present disclosure, the query graph of the question can be obtained more accurately, and the accuracy of the question to the query graph is improved, thereby improving the accuracy of question analysis.
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公开(公告)号：EP3862907A1
公开(公告)日：2021-08-11
申请号：EP21151484.9
申请日：2021-01-14
发明人： WANG, Shu , REN, Kexin , ZHANG, Xiaohan , FENG, Zhifan , ZHANG, Yang , ZHU, Yong
IPC分类号： G06F40/295
摘要： Embodiments of the disclosure provide a method and an apparatus for labelling a core entity, and a related electronic device. A character vector sequence, a first word vector sequence and an entity vector sequence corresponding to a target text are obtained (101) by performing character vector mapping, word vector mapping and entity vector mapping are performed on the target text, to obtain (102) 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 (103) by encoding and decoding the target vector sequence. One or more core entities of the target text are determined (104) based on the first probability and the second probability.
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