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公开(公告)号：EP4425377A1
公开(公告)日：2024-09-04
申请号：EP24158551.2
申请日：2024-02-20
申请人： FUJITSU LIMITED
发明人： Au, Wing , Uchino, Kanji
摘要： In an embodiment, operations include receiving a graph representative of a domain. The operations further include extracting first sub-graphs from the graph and reducing each first sub-graph to obtain a set of reduced sub-graphs. The operations further include executing a set of operations comprising: determining a closest reduced sub-graph, from the set of reduced sub-graphs, corresponding to each first sub-graph; determining coverage metrics based on the extracted first sub-graphs and the closest reduced sub-graph corresponding to each first sub-graph; determining whether the coverage metrics satisfy coverage conditions; and re-iterating reduction of the extracted first sub-graphs if the coverage metrics do not satisfy the coverage conditions. The operations further include obtaining second sub-graphs from the closest reduced sub-graph corresponding to each first sub-graph based on repetition of the first set of operations until the coverage metrics satisfy the coverage conditions and training an explainable prediction model based on the second sub-graphs.
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公开(公告)号：EP2506169A3
公开(公告)日：2013-10-16
申请号：EP12173694.6
申请日：2002-10-30
申请人： FUJITSU LIMITED
发明人： Uchino, Kanji , Kume, Yuki
IPC分类号： G06F17/30
CPC分类号： G06F17/30707
摘要： This invention is to automatically extract noteworthy information from a large amount of information. First, a disclosure unit of an individual opinion such as a statement in a personal web page or a bulletin board is extracted from collected contents information, and information (URL and/or statement number) to specify the disclosure unit of the individual opinion is registered. Next, an object (company name and/or industry type) of the individual opinion is specified. Then, the disclosed contents of the individual opinion are analyzed, so that an evaluation as to the object (good evaluation / bad evaluation) is specified. Besides, the reliability is determined based on referenced degree ranking and based on whether information to indicate the basis of the opinion and/or the identity of the speaker is included. Thus, the evaluation as to the object as characteristics of the individual opinion can be presented to requesters. Besides, for example, only a bad evaluation can be extracted from evaluations as to the object of the individual opinion. Furthermore, the opinion, which has a high influence degree and is noteworthy, can also be found based on the referenced degree ranking and/or the reliability.
摘要翻译： 本发明是从大量信息中自动提取出值得信赖的信息。 首先，从收集的内容信息中提取个人意见的披露单位，例如个人网页或公告牌中的陈述，并且登记指定个人意见的披露单位的信息（URL和/或声明号） 。 接下来，指定个人意见的对象（公司名称和/或行业类型）。 然后，对所公开的个人意见的内容进行分析，对目标进行评价（良好评价/不良评价）。 此外，可靠性是基于参考程度排名确定的，并且基于是否包括用于指示意见的基础的信息和/或说话者的身份。 因此，作为个人意见的特征的对象的评估可以呈现给请求者。 此外，例如，可以从关于个人意见的对象的评估中提取不良评价。 此外，还可以基于参考的程度排名和/或可靠性来找到具有高影响程度和值得注意的意见。
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公开(公告)号：EP4439291A1
公开(公告)日：2024-10-02
申请号：EP24158270.9
申请日：2024-02-19
申请人： Fujitsu Limited
发明人： Au, Wing Yee , Uchino, Kanji
CPC分类号： G06F9/4881 , G06F9/5072
摘要： In an embodiment, operations include receiving a graph dataset including a set of graphs. The operations further include generating, by a task scheduler, a set of task queues configured to process the received graph dataset in parallel. The operations further include determining, by the set of task queues, a set of graph attributes for each graph of the set of graphs. The operations further include receiving, by a web service, one or more graph attributes of the determined set of graph attributes. The operations further include transmitting, by the web service, attribute information including the received one or more graph attributes to a client browser. The client browser is configured to determine a set of graph views based on the transmitted attribute information. The operations further include controlling rendering of the determined set of graph views on the client browser.
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公开(公告)号：EP4227855A1
公开(公告)日：2023-08-16
申请号：EP22213801.8
申请日：2022-12-15
申请人： Fujitsu Limited
发明人： McThrow, Michael , Uchino, Kanji
摘要： A method may include obtaining a first result of a graph explainable artificial intelligence (GXAI) classification analysis of a dataset of graph-structured data and a second result of a graph analysis algorithm that represents relationships between elements of the dataset. The method may include determining a correlation between the first result and the second result and generating a display within a graphical user interface (GUI) that visualizes similarities between the first result and the second result based on the correlation. Determining the correlation between the first result and the second result may include generating a first vector of the first result of the classification analysis using GXAI techniques and a second vector of the second result of the graph analysis algorithm. A Pearson correlation coefficient or a cosine similarity coefficients may be computed based on the first vector and the second vector in which the computed coefficients are indicative of the correlation.
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公开(公告)号：EP2506169A2
公开(公告)日：2012-10-03
申请号：EP12173694.6
申请日：2002-10-30
申请人： FUJITSU LIMITED
发明人： Uchino, Kanji , Kume, Yuki
IPC分类号： G06F17/30
CPC分类号： G06F17/30707
摘要： This invention is to automatically extract noteworthy information from a large amount of information. First, a disclosure unit of an individual opinion such as a statement in a personal web page or a bulletin board is extracted from collected contents information, and information (URL and/or statement number) to specify the disclosure unit of the individual opinion is registered. Next, an object (company name and/or industry type) of the individual opinion is specified. Then, the disclosed contents of the individual opinion are analyzed, so that an evaluation as to the object (good evaluation / bad evaluation) is specified. Besides, the reliability is determined based on referenced degree ranking and based on whether information to indicate the basis of the opinion and/or the identity of the speaker is included. Thus, the evaluation as to the object as characteristics of the individual opinion can be presented to requesters. Besides, for example, only a bad evaluation can be extracted from evaluations as to the object of the individual opinion. Furthermore, the opinion, which has a high influence degree and is noteworthy, can also be found based on the referenced degree ranking and/or the reliability.
摘要翻译： 本发明是从大量信息中自动提取出值得信赖的信息。 首先，从收集的内容信息中提取个人意见的披露单位，例如个人网页或公告牌中的陈述，并且登记指定个人意见的披露单位的信息（URL和/或声明号） 。 接下来，指定个人意见的对象（公司名称和/或行业类型）。 然后，对所公开的个人意见的内容进行分析，对目标进行评价（良好评价/不良评价）。 此外，可靠性是基于参考程度排名确定的，并且基于是否包括用于指示意见的基础的信息和/或说话者的身份。 因此，作为个人意见的特征的对象的评估可以呈现给请求者。 此外，例如，可以从关于个人意见的对象的评估中提取不良评价。 此外，还可以基于参考的程度排名和/或可靠性来找到具有高影响程度和值得注意的意见。
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公开(公告)号：EP4276675A1
公开(公告)日：2023-11-15
申请号：EP23167524.0
申请日：2023-04-12
申请人： Fujitsu Limited
IPC分类号： G06F40/216 , G06F40/30 , G06F40/226
摘要： In an example, a method may include obtaining a language model to be audited. The method may include providing one or more common sense tests to the language model. The common sense tests may include one or more complex problems having multiple parameters or multiple answers. The common sense tests may also provide an indication of the ability of the language model to reflect laymen understanding of the world in the processed responses. The method may include obtaining model results based on responses to the language model with respect to the one or more common sense tests. The method may include obtaining one or more proposed changes to the language model based on the model results. The method may include implementing the one or more proposed changes to the language model based on the model results.
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公开(公告)号：EP4246378A1
公开(公告)日：2023-09-20
申请号：EP22200823.7
申请日：2022-10-11
申请人： Fujitsu Limited
IPC分类号： G06N3/0475 , G06N3/0985
摘要： In an embodiment, multiple datasets related to multiple application domains are received. Further, feature dependency information associated with a first dataset is determined, based on a first user input. Also, feature difference information associated with the first dataset and a second dataset is determined, based on a second user input and a set of ethical requirements. A set of structural causal models (SCMs) associated with the first dataset are determined based on the feature dependency information and the feature difference information. A set of ethical coefficients associated with the set of ethical requirements are determined based on an application of a causal transportability model on the set of SCMs. A trust score associated with the first dataset is determined based on the set of ethical coefficients. The trust score is used to train a meta-learning model associated with the multiple application domains.
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公开(公告)号：EP4009219A1
公开(公告)日：2022-06-08
申请号：EP21190092.3
申请日：2021-08-06
申请人： FUJITSU LIMITED
发明人： Wang, Jun , Uchino, Kanji
IPC分类号： G06F40/237 , G06F40/216 , G06F40/289 , G06F40/30 , G06N3/02
摘要： A method includes constructing a hierarchal graph associated with a document. The hierarchal graph includes a document node, a set of paragraph nodes, a set of sentence nodes, and a set of token nodes. The method further includes determining, based on a language attention model, a set of weights associated with a set of edges between a first node and each connected second set of nodes. The method further includes applying a GNN model on the hierarchal graph based on a set of first features associated with each token node, and the set of weights. The method further includes updating a set of features associated with each node based on the application, and generating a document vector for an NLP task, based on the updated set of features. The method further includes displaying an output of the NLP task for the document, based on the document vector.
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公开(公告)号：EP3975071A1
公开(公告)日：2022-03-30
申请号：EP21190085.7
申请日：2021-08-06
申请人： FUJITSU LIMITED
摘要： A method may include obtaining a machine-learning model trained with respect to a subject. The machine-learning model may be based on a plurality of factors that correspond to the subject. The method may include obtaining human provided information regarding the subject. The expert information may indicate relationships between the plurality of factors with respect to how the plurality of factors affect each other. The method may include generating a structural causal model that represents the relationships between the plurality of factors based on the expert information. The method may include identifying, as a confounding factor and based on the structural causal model, a factor of the plurality of factors that causes a confounding bias in the machine-learning model. The method may include estimating the confounding bias based on the identified confounding factor.
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公开(公告)号：EP4198906A1
公开(公告)日：2023-06-21
申请号：EP22199986.5
申请日：2022-10-06
申请人： FUJITSU LIMITED
摘要： In an embodiment, a textual description of a situation of a first user is received. A first set of vector embeddings is determined based on the textual description. A set of ethical texts is received based on an input from a second user. A second set of vector embeddings is determined based on the set of ethical texts. A set of antonym words and a set of synonym words are determined with respect to the first set of vector embeddings, based on the second set of vector embeddings. A set of sentences is determined based on the set of antonym words and the set of synonym words. A first sentence is selected from the set of sentences based on parts-of-speech in each sentence. By using a GAN model, an image is generated based on the first sentence. The image is rendered on a display device associated with the second user.
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