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公开(公告)号：US20170371856A1
公开(公告)日：2017-12-28
申请号：US15630462
申请日：2017-06-22
Applicant: SAS Institute Inc.
Inventor： Ethem F. Can , Richard W. Crowell , James Tetterton , Jared Peterson , SARATENDU SETHI
CPC classification number: G06F17/248 , G06F16/5846 , G06F17/2211 , G06F17/2881 , G06K9/00449 , G06K9/3233 , G06K9/4642 , G06K9/4676 , G06K9/469 , G06K9/6201 , G06K9/6267 , G06K9/6892 , G06N3/02
Abstract: Various embodiments are generally directed to systems for summarizing data visualizations (i.e., images of data visualizations), such as a graph image, for instance. Some embodiments are particularly directed to a personalized graph summarizer that analyzes a data visualization, or image, to detect pre-defined patterns within the data visualization, and produces a textual summary of the data visualization based on the pre-defined patterns detected within the data visualization. In various embodiments, the personalized graph summarizer may include features to adapt to the preferences of a user for generating an automated, personalized computer-generated narrative. For instance, additional pre-defined patterns may be created for detection and/or the textual summary may be tailored based on user preferences. In some such instances, one or more of the user preferences may be automatically determined by the personalized graph summarizer without requiring the user to explicitly indicate them. Embodiments may integrate machine learning and computer vision concepts.
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公开(公告)号：US10909313B2
公开(公告)日：2021-02-02
申请号：US15630462
申请日：2017-06-22
Applicant: SAS Institute Inc.
Inventor： Ethem F. Can , Richard W. Crowell , James Tetterton , Jared Peterson , Saratendu Sethi
IPC: G06F40/186 , G06K9/68 , G06K9/46 , G06F16/583 , G06K9/62 , G06K9/00 , G06N20/00 , G06K9/32 , G06F40/56 , G06F40/194
Abstract: Various embodiments are generally directed to systems for summarizing data visualizations (i.e., images of data visualizations), such as a graph image, for instance. Some embodiments are particularly directed to a personalized graph summarizer that analyzes a data visualization, or image, to detect pre-defined patterns within the data visualization, and produces a textual summary of the data visualization based on the pre-defined patterns detected within the data visualization. In various embodiments, the personalized graph summarizer may include features to adapt to the preferences of a user for generating an automated, personalized computer-generated narrative. For instance, additional pre-defined patterns may be created for detection and/or the textual summary may be tailored based on user preferences. In some such instances, one or more of the user preferences may be automatically determined by the personalized graph summarizer without requiring the user to explicitly indicate them. Embodiments may integrate machine learning and computer vision concepts.
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公开(公告)号：US09460071B2
公开(公告)日：2016-10-04
申请号：US14692333
申请日：2015-04-21
Applicant: SAS Institute Inc.
Inventor： Viswanath Avasarala , David Styles , James Tetterton , Richard Crowell , Saratendu Sethi
CPC classification number: G06F17/241 , G06F17/30734
Abstract: In a computing device that defines a rule for natural language processing of text, annotated text is selected from a first document of a plurality of annotated documents. An entity rule type is selected from a plurality of entity rule types. An argument of the selected entity rule type is identified. A value for the identified argument is randomly selected based on the selected annotated text to generate a rule instance. The generated rule instance is applied to remaining documents of the plurality of annotated documents. A rule performance measure is computed based on application of the generated rule instance. The generated rule instance and the computed rule performance measure are stored for application to other documents.
Abstract translation: 在定义用于文本的自然语言处理的规则的计算设备中，从多个注释文档的第一文档中选择注释文本。 从多个实体规则类型中选择实体规则类型。 识别所选实体规则类型的参数。 基于所选注释文本随机选择所标识参数的值以生成规则实例。 所生成的规则实例被应用于多个注释文档的剩余文档。 基于生成的规则实例的应用计算规则性能度量。 生成的规则实例和计算的规则性能度量被存储以供应用于其他文档。
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公开(公告)号：US20160078014A1
公开(公告)日：2016-03-17
申请号：US14692333
申请日：2015-04-21
Applicant: SAS Institute Inc.
Inventor： Viswanath Avasarala , David Styles , James Tetterton , Richard Crowell , Saratendu Sethi
CPC classification number: G06F17/241 , G06F17/30734
Abstract: In a computing device that defines a rule for natural language processing of text, annotated text is selected from a first document of a plurality of annotated documents. An entity rule type is selected from a plurality of entity rule types. An argument of the selected entity rule type is identified. A value for the identified argument is randomly selected based on the selected annotated text to generate a rule instance. The generated rule instance is applied to remaining documents of the plurality of annotated documents. A rule performance measure is computed based on application of the generated rule instance. The generated rule instance and the computed rule performance measure are stored for application to other documents.
Abstract translation: 在定义文本的自然语言处理规则的计算设备中，从多个注释文档的第一文档中选择注释文本。 从多个实体规则类型中选择实体规则类型。 识别所选实体规则类型的参数。 基于所选注释文本随机选择所标识参数的值以生成规则实例。 所生成的规则实例被应用于多个注释文档的剩余文档。 基于生成的规则实例的应用计算规则性能度量。 生成的规则实例和计算的规则性能度量被存储以供应用于其他文档。
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