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1.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：EP3907648A2
公开(公告)日：2021-11-10
申请号：EP21193300.7
申请日：2021-08-26
发明人： YANG, Chen , YANG, Tianxing , PENG, Bin , ZHANG, Yilin , SONG, Xunchao
IPC分类号： G06F40/258
摘要： The present disclosure provides a text prediction method, a text prediction apparatus, an electronic device and a storage medium, and relates to the field of data processing technologies, especially deep learning, natural language processing and intelligent search technologies. The method includes: obtaining (S110, S210, S310) at least two sentences by segmenting a text to be predicted; obtaining (S120, S220) at least one sentence set by grouping the at least two sentences based on a number of Central Processing Unit (CPU) cores in a target device, in which the target device is a device configured to perform a prediction operation; assigning (S130, S240, S340) each sentence set to a corresponding CPU core of the target device, and predicting each sentence set sentence by sentence through the corresponding CPU core to obtain a prediction result of each sentence set; and determining (S140, S250, S350) a prediction result of the text to be predicted based on the prediction result of each sentence set.
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公开(公告)号：EP3923160A1
公开(公告)日：2021-12-15
申请号：EP20212925.0
申请日：2020-12-09
发明人： SHI, Hongjian , JIANG, Wenbin , FENG, Xinwei , YU, Miao , ZHOU, Huanyu , TIAN, Meng , WU, Xueqian , SONG, Xunchao
摘要： The present disclosure discloses a method, apparatus, device, and storage medium for training a model, relates to the technical fields of knowledge graph, natural language processing, and deep learning. A specific implementation is: acquiring a first annotation data set, the first annotation data set including sample data and a annotation classification result corresponding to the sample data; training a preset initial classification model based on the first annotation data set to obtain an intermediate model; performing prediction on the sample data in the first annotation data set using the intermediate model to obtain a prediction classification result corresponding to the sample data; generating a second annotation data set based on the sample data, the corresponding annotation classification result, and the corresponding prediction classification result; and training the intermediate model based on the second annotation data set to obtain a classification model. This implementation method can effectively use high-noise annotation data, train a highly available model, and improve the utilization rate of data.
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公开(公告)号：EP3855314A1
公开(公告)日：2021-07-28
申请号：EP20202640.7
申请日：2020-10-19
发明人： WANG, Yang , SONG, Xunchao , YUAN, Pengcheng , WANG, Yifei , ZHANG, Haiping
IPC分类号： G06F9/50
摘要： The present disclosure provides a method and an apparatus for graph computing, an electronic device and a storage medium. An execution engine is configured (S101) in a CPU. One or more interface functions running in a GPU are configured (S 102). During the execution of the graph computing, the one or more interface functions are called (S103) by the execution engine through a graph computing interface. The interface functions are executed (S104) in the GPU in parallel through multiple parallel threads. The interface functions are configured to process a plurality of graph vertexes in parallel. The multiple parallel threads are configured to feedback respective execution results of the interface functions to the execution engine. The graph computing is completed by the execution engine according to the execution results.
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5.发明公开
公开(公告)号：EP3832484A2
公开(公告)日：2021-06-09
申请号：EP21164545.2
申请日：2021-03-24
发明人： TIAN, Meng , YU, Miao , JIANG, Wenbin , FENG, Xinwei , ZHOU, Huanyu , YUAN, Pengcheng , SONG, Xunchao , WU, Xueqian , SHI, Hongjian
IPC分类号： G06F16/33
摘要： The disclosure discloses a semantics processing method, a semantics processing apparatus, an electronic device, and a medium, and relates to a field of knowledge graph technologies. The detailed implementation includes: determining a target semantic element rule matching a text to be parsed, and parsing the text to be parsed by employing the target semantic element rule to obtain a semantic element parsing result; generating a semantic tree based on the semantic element parsing result by employing a target structured rule associated with the target semantic element rule; and performing semantic understanding on the text to be parsed based on the semantic tree.
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6.发明公开
公开(公告)号：EP3690676A1
公开(公告)日：2020-08-05
申请号：EP19210509.6
申请日：2019-11-21
发明人： YU, Miao , FENG, Xinwei , ZHOU, Huanyu , SONG, Xunchao , DAI, Songtai
IPC分类号： G06F16/951
摘要： Embodiments of the present disclosure relate to a method, apparatus, computer device, and storage medium for verifying community question answer data. The method may include: acquiring a community question answer data set, and generating a plurality of question answer pairs based on the community question answer data set, a question answer pair including: a question, and a to-be-verified answer corresponding to the question; generating an authoritative data set based on data stored in at least one confidence source site; and performing an authority verification on the to-be-verified answer, based on a score of a similarity between the to-be-verified answer and authoritative data in the authoritative data set in at least one dimension.
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7.发明公开
公开(公告)号：EP3832484A3
公开(公告)日：2021-10-06
申请号：EP21164545.2
申请日：2021-03-24
发明人： TIAN, Meng , YU, Miao , JIANG, Wenbin , FENG, Xinwei , ZHOU, Huanyu , YUAN, Pengcheng , SONG, Xunchao , WU, Xueqian , SHI, Hongjian
IPC分类号： G06F16/33 , G06F40/205 , G06F40/30 , G06N5/00 , G06N5/02
摘要： The disclosure discloses a semantics processing method, a semantics processing apparatus, an electronic device, and a medium, and relates to a field of knowledge graph technologies. The detailed implementation includes: determining a target semantic element rule matching a text to be parsed, and parsing the text to be parsed by employing the target semantic element rule to obtain a semantic element parsing result; generating a semantic tree based on the semantic element parsing result by employing a target structured rule associated with the target semantic element rule; and performing semantic understanding on the text to be parsed based on the semantic tree.
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公开(公告)号：EP3851999A1
公开(公告)日：2021-07-21
申请号：EP21151537.4
申请日：2021-01-14
发明人： LI, Shuangjie , YU, Miao , SHI, Yabing , HAO, Xuefeng , SONG, Xunchao , JIANG, Ye , ZHANG,, Yang , ZHU, Yong
IPC分类号： G06F40/289 , G06F40/30 , G06N3/04 , G06N3/08
摘要： The present disclosure discloses a method and an apparatus for processing information. A specific embodiment of the method includes: acquiring a word sequence obtained by performing word segmentation on two paragraphs in a text; inputting the word sequence into a to-be-trained natural language processing model to generate a word vector corresponding to a word in the word sequence; inputting the word vector into a preset processing layer of the to-be-trained natural language processing model; predicting whether the two paragraphs are adjacent, and a replaced word in the two paragraphs; and acquiring reference information of the two paragraphs, and training the to-be-trained natural language processing model to obtain a trained natural language processing model, based on the prediction result and the reference information. The present disclosure may use a large number of samples without manual labeling to train a natural language processing model, so that the problem of insufficient samples may be solved and the prediction accuracy of the model may be improved, while the manpower consumption is reduced.
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9.发明公开
公开(公告)号：EP3764245A1
公开(公告)日：2021-01-13
申请号：EP20161122.5
申请日：2020-03-05
发明人： DAI, Songtai , FENG, Xinwei , YU, Miao , ZHOU, Huanyu , YUAN, Pengcheng , SONG, Xunchao
IPC分类号： G06F16/332 , G06F16/33
摘要： The present disclosure provides a method for obtaining an answer to a question, the method including: acquiring a question; determining at least a part of articles in a preset article database as candidate articles, and determining first scores of the candidate articles respectively, the first score of any of the candidate articles representing a matching degree between the candidate article and the question; determining at least a part of texts in each of the candidate articles as candidate texts, and determining second scores of the candidate texts respectively, the second score of any of the candidate texts representing a matching degree between the candidate text and the question; and determining at least a part of the candidate texts as the answer based on a score set of each of the candidate texts, the score set of any of the candidate texts including the second score of the candidate text and the first score of a candidate article to which the candidate text belongs. The present disclosure further provides an apparatus, electronic device, and computer readable medium for obtaining an answer to a question.
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公开(公告)号：EP3907648A3
公开(公告)日：2022-02-16
申请号：EP21193300.7
申请日：2021-08-26
发明人： YANG, Chen , YANG, Tianxing , PENG, Bin , ZHANG, Yilin , SONG, Xunchao
IPC分类号： G06F40/258 , G06F8/41 , G06F40/274
摘要： The present disclosure provides a text prediction method, a text prediction apparatus, an electronic device and a storage medium, and relates to the field of data processing technologies, especially deep learning, natural language processing and intelligent search technologies. The method includes: obtaining (S110, S210, S310) at least two sentences by segmenting a text to be predicted; obtaining (S120, S220) at least one sentence set by grouping the at least two sentences based on a number of Central Processing Unit (CPU) cores in a target device, in which the target device is a device configured to perform a prediction operation; assigning (S130, S240, S340) each sentence set to a corresponding CPU core of the target device, and predicting each sentence set sentence by sentence through the corresponding CPU core to obtain a prediction result of each sentence set; and determining (S140, S250, S350) a prediction result of the text to be predicted based on the prediction result of each sentence set.
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