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1. 发明授权

US09588955B2 Systems, methods, and software for manuscript recommendations and submissions 有权
标题翻译：手稿建议和提交的系统，方法和软件
公开(公告)号：US09588955B2
公开(公告)日：2017-03-07
申请号：US14028120
申请日：2013-09-16
申请人： Jason Rollins , Ellen Rotenberg , Enav Weinreb , Hassan H. Malik , Shai Hertz
发明人： Jason Rollins , Ellen Rotenberg , Enav Weinreb , Hassan H. Malik , Shai Hertz
IPC分类号： G06F17/22 , G06F17/27 , G06F17/24
CPC分类号： G06F17/2705 , G06F17/27
摘要： A multi-component software system facility matches unpublished academic manuscripts with a list or set of recommended potential “best fit” publications, e.g., journals, e.g., those publications determined most likely to accept the manuscript for publication. Upon selecting from a set of recommended publications a user may electronically upload or submit or transmit the unpublished article or work or manuscript to a target publication review and editing system. The present invention provides a client or web-based interface to effectively integrate word processor and bibliographic management software and other resources, including third-party authority databases.
摘要翻译：多组分软件系统设施将未发表的学术手稿与一系列推荐的潜在“最合适”出版物（例如期刊，例如最有可能接受稿件出版的出版物）进行匹配。从一组推荐出版物中选择后，用户可以电子上传或提交或传送未发表的文章或作品或稿件到目标出版物审阅和编辑系统。本发明提供了一种客户端或基于web的界面，用于有效地整合文字处理器和书目管理软件以及包括第三方权限数据库在内的其他资源。

2. 发明授权

US08626682B2 Automatic data cleaning for machine learning classifiers 有权
标题翻译：机器学习分类器的自动数据清理
公开(公告)号：US08626682B2
公开(公告)日：2014-01-07
申请号：US13046266
申请日：2011-03-11
申请人： Hassan H. Malik , Mans Olof-Ors
发明人： Hassan H. Malik , Mans Olof-Ors
IPC分类号： G06F15/18
CPC分类号： G06F17/30675 , G06F17/30696 , G06F17/3071 , G06F17/30864 , G06F17/30958 , G06K9/6259 , G06N5/00 , G06N5/02 , G06N99/005
摘要： Systems and techniques for improving the training of machine learning classifiers are disclosed. A classifier is trained using a set of validated documents that are accurately associated with a set of class labels. A subset of non-validated documents is also identified and is used to further train and improve accuracy of the classifier.
摘要翻译：公开了改进机器学习分类器训练的系统和技术。使用一组与一组类标签精确关联的经过验证的文档来训练分类器。还验证了未经验证的文档的子集，并用于进一步训练和提高分类器的准确性。

3. 发明申请

US20150082156A1 SYSTEMS, METHODS, AND SOFTWARE FOR MANUSCRIPT RECOMMENDATIONS AND SUBMISSIONS 有权
标题翻译：系统，方法和软件提供建议和提交
公开(公告)号：US20150082156A1
公开(公告)日：2015-03-19
申请号：US14028120
申请日：2013-09-16
申请人： Jason Rollins , Ellen Rotenberg , Enav Weinreb , Hassan H. Malik , Shai Hertz
发明人： Jason Rollins , Ellen Rotenberg , Enav Weinreb , Hassan H. Malik , Shai Hertz
IPC分类号： G06F17/27
CPC分类号： G06F17/2705 , G06F17/27
摘要： A multi-component software system facility matches unpublished academic manuscripts with a list or set of recommended potential “best fit” publications, e.g., journals, e.g., those publications determined most likely to accept the manuscript for publication. Upon selecting from a set of recommended publications a user may electronically upload or submit or transmit the unpublished article or work or manuscript to a target publication review and editing system. The present invention provides a client or web-based interface to effectively integrate word processor and bibliographic management software and other resources, including third-party authority databases.
摘要翻译：多组分软件系统设施将未发表的学术手稿与一系列推荐的潜在“最合适”出版物（例如期刊，例如最有可能接受稿件出版的出版物）进行匹配。从一组推荐出版物中选择后，用户可以电子上传或提交或传送未发表的文章或作品或稿件到目标出版物审阅和编辑系统。本发明提供了一种客户端或基于web的界面，用于有效地整合文字处理器和书目管理软件以及包括第三方权限数据库在内的其他资源。

4. 发明申请

US20120215791A1 ENTITY FINGERPRINTS 有权
标题翻译：实体指纹
公开(公告)号：US20120215791A1
公开(公告)日：2012-08-23
申请号：US13213324
申请日：2011-08-19
申请人： Hassan H. Malik , Mans Olof-Ors , Ian MacGillivray
发明人： Hassan H. Malik , Mans Olof-Ors , Ian MacGillivray
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30292 , G06F17/30867 , G06F17/30958
摘要： Systems and techniques for exploring relationships among entities are disclosed. The systems and techniques provide an entity-based information analysis and content aggregation platform that uses heterogeneous data sources to construct and maintain an ecosystem around tangible and logical entities. Entities are represented as vertices in a directed graph, and edges are generated using entity co-occurrences in unstructured documents and supervised information from structured data sources. Significance scores for the edges are computed using a method that combines supervised, unsupervised and temporal factors into a single score. Important entity attributes from the structured content and the entity neighborhood in the graph are automatically summarized as the entity fingerprint. Entities may be compared to one another based on similarity of their entity fingerprints. An interactive user interface is also disclosed that provides exploratory access to the graph and supports decision support processes.
摘要翻译：披露了实体间关系探索的系统和技术。系统和技术提供了基于实体的信息分析和内容聚合平台，其使用异构数据源来构建和维护有形和逻辑实体周围的生态系统。实体在有向图中被表示为顶点，并且使用非结构化文档中的实体共现和来自结构化数据源的监督信息生成边。使用将监督，无监督和时间因素结合为单个分数的方法来计算边缘的显着性得分。图中的结构化内容和实体邻域的重要实体属性将自动汇总为实体指纹。实体可以根据其实体指纹的相似性相互比较。还公开了交互式用户界面，其提供对图的探索性访问并且支持决策支持过程。

5. 发明授权

US09495635B2 Association significance 有权
标题翻译：协会意义
公开(公告)号：US09495635B2
公开(公告)日：2016-11-15
申请号：US13107665
申请日：2011-05-13
申请人： Hassan H. Malik , Mans Olof-Ors
发明人： Hassan H. Malik , Mans Olof-Ors
IPC分类号： G06F17/30 , G06N5/00 , G06K9/62 , G06N5/02 , G06N99/00
CPC分类号： G06F17/30675 , G06F17/30696 , G06F17/3071 , G06F17/30864 , G06F17/30958 , G06K9/6259 , G06N5/00 , G06N5/02 , G06N99/005
摘要： Systems and techniques for determining significance between entities are disclosed. The systems and techniques identify a first entity having an association with a second entity, apply a plurality of association criteria to the association, weight each of the criteria based on defined weight values, and compute a significance score for the first entity with respect to the second entity based on a sum of a plurality of weighted criteria values. The systems and techniques utilize information from disparate sources to create a uniquely powerful signal. The systems and techniques can be used to identify the significance of relationships (e.g., associations) among various entities including, but not limited to, organizations, people, products, industries, geographies, commodities, financial indicators, economic indicators, events, topics, subject codes, unique identifiers, social tags, industry terms, general term/s, metadata elements, classification codes, and combinations thereof.
摘要翻译：公开了确定实体之间重要性的系统和技术。所述系统和技术识别具有与第二实体的关联的第一实体，将多个关联标准应用于所述关联，基于所定义的权重值对每个所述标准进行加权，并且针对所述第一实体计算相对于所述第一实体的重要性得分基于多个加权标准值的和的第二实体。系统和技术利用来自不同来源的信息来创建独特强大的信号。系统和技术可用于确定各种实体之间的关系（例如，协会）的重要性，包括但不限于组织，人员，产品，行业，地理位置，商品，财务指标，经济指标，事件，主题，主题代码，唯一标识符，社会标签，行业术语，通用术语，元数据元素，分类代码及其组合。

6. 发明授权

US09292545B2 Entity fingerprints 有权
标题翻译：实体指纹
公开(公告)号：US09292545B2
公开(公告)日：2016-03-22
申请号：US13213324
申请日：2011-08-19
申请人： Hassan H. Malik , Mans Olof-Ors , Ian MacGillivray
发明人： Hassan H. Malik , Mans Olof-Ors , Ian MacGillivray
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30292 , G06F17/30867 , G06F17/30958
摘要： Systems and techniques for exploring relationships among entities are disclosed. The systems and techniques provide an entity-based information analysis and content aggregation platform that uses heterogeneous data sources to construct and maintain an ecosystem around tangible and logical entities. Entities are represented as vertices in a directed graph, and edges are generated using entity co-occurrences in unstructured documents and supervised information from structured data sources. Significance scores for the edges are computed using a method that combines supervised, unsupervised and temporal factors into a single score. Important entity attributes from the structured content and the entity neighborhood in the graph are automatically summarized as the entity fingerprint. Entities may be compared to one another based on similarity of their entity fingerprints. An interactive user interface is also disclosed that provides exploratory access to the graph and supports decision support processes.
摘要翻译：披露了实体间关系探索的系统和技术。系统和技术提供了基于实体的信息分析和内容聚合平台，其使用异构数据源来构建和维护有形和逻辑实体周围的生态系统。实体在有向图中被表示为顶点，并且使用非结构化文档中的实体共现和来自结构化数据源的监督信息生成边。使用将监督，无监督和时间因素结合为单个分数的方法来计算边缘的显着性得分。图中的结构化内容和实体邻域的重要实体属性将自动汇总为实体指纹。实体可以根据其实体指纹的相似性相互比较。还公开了交互式用户界面，其提供对图的探索性访问并且支持决策支持过程。

7. 发明申请

US20120278336A1 REPRESENTING INFORMATION FROM DOCUMENTS 审中-公开
标题翻译：从文件中表示信息
公开(公告)号：US20120278336A1
公开(公告)日：2012-11-01
申请号：US13097619
申请日：2011-04-29
申请人： Hassan H. Malik , Vikas S. Bhardwaj , Huascar Fiorletta , Armughan Rafat
发明人： Hassan H. Malik , Vikas S. Bhardwaj , Huascar Fiorletta , Armughan Rafat
IPC分类号： G06F17/30
CPC分类号： G06F17/2775
摘要： Systems and techniques are disclosed for representing information included in unstructured text documents into a structured format. The systems and techniques identify events and information associated with the events in unstructured documents, classify the identified events and information, and represent the identified events and information in a structured format based on a computed classification score. The systems and techniques may also assign a confidence score to identified events, compare the confidence score associated with events to a confidence score associated with a trained confidence model, and represent the identified events and information associated with the events in a structured format based on the comparison.
摘要翻译：公开了用于将包括在非结构化文本文档中的信息表示为结构化格式的系统和技术。系统和技术识别与非结构化文档中的事件相关联的事件和信息，对所识别的事件和信息进行分类，并且基于计算的分类分数以结构化格式表示所识别的事件和信息。系统和技术还可以将确定的分数分配给所识别的事件，将与事件相关联的置信度得分与与经训练的置信模型相关联的置信度得分进行比较，并且基于所述事件和结构化格式的与事件相关联的信息，比较。

8. 发明申请

US20120215777A1 ASSOCIATION SIGNIFICANCE 有权
标题翻译：协会意义
公开(公告)号：US20120215777A1
公开(公告)日：2012-08-23
申请号：US13107665
申请日：2011-05-13
申请人： Hassan H. Malik , Mans Olof-Ors
发明人： Hassan H. Malik , Mans Olof-Ors
IPC分类号： G06F17/30
CPC分类号： G06F17/30675 , G06F17/30696 , G06F17/3071 , G06F17/30864 , G06F17/30958 , G06K9/6259 , G06N5/00 , G06N5/02 , G06N99/005
摘要： Systems and techniques for determining significance between entities are disclosed. The systems and techniques identify a first entity having an association with a second entity, apply a plurality of association criteria to the association, weight each of the criteria based on defined weight values, and compute a significance score for the first entity with respect to the second entity based on a sum of a plurality of weighted criteria values. The systems and techniques utilize information from disparate sources to create a uniquely powerful signal. The systems and techniques can be used to identify the significance of relationships (e.g., associations) among various entities including, but not limited to, organizations, people, products, industries, geographies, commodities, financial indicators, economic indicators, events, topics, subject codes, unique identifiers, social tags, industry terms, general term/s, metadata elements, classification codes, and combinations thereof.
摘要翻译：公开了确定实体之间重要性的系统和技术。所述系统和技术识别具有与第二实体的关联的第一实体，将多个关联标准应用于所述关联，基于所定义的权重值对每个所述标准进行加权，并且针对所述第一实体计算相对于所述第一实体的重要性得分基于多个加权标准值的和的第二实体。系统和技术利用来自不同来源的信息来创建独特强大的信号。系统和技术可用于确定各种实体之间的关系（例如，协会）的重要性，包括但不限于组织，人员，产品，行业，地理位置，商品，财务指标，经济指标，事件，主题，主题代码，唯一标识符，社会标签，行业术语，通用术语，元数据元素，分类代码及其组合。

9. 发明申请

US20120215727A1 AUTOMATIC DATA CLEANING FOR MACHINE LEARNING CLASSIFIERS 有权
标题翻译：自动数据清理机器学习分类器
公开(公告)号：US20120215727A1
公开(公告)日：2012-08-23
申请号：US13046266
申请日：2011-03-11
申请人： Hassan H. Malik , Mans Olof-Ors
发明人： Hassan H. Malik , Mans Olof-Ors
IPC分类号： G06F15/18
CPC分类号： G06F17/30675 , G06F17/30696 , G06F17/3071 , G06F17/30864 , G06F17/30958 , G06K9/6259 , G06N5/00 , G06N5/02 , G06N99/005
摘要： Systems and techniques for improving the training of machine learning classifiers are disclosed. A classifier is trained using a set of validated documents that are accurately associated with a set of class labels. A subset of non-validated documents is also identified and is used to further train and improve accuracy of the classifier.
摘要翻译：公开了改进机器学习分类器训练的系统和技术。使用一组与一组类标签精确关联的经过验证的文档来训练分类器。还验证了未经验证的文档的子集，并用于进一步训练和提高分类器的准确性。

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