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公开(公告)号：WO2014158834A1
公开(公告)日：2014-10-02
申请号：PCT/US2014/020455
申请日：2014-03-05
Applicant: MICROSOFT CORPORATION
Inventor： GAMON, Michael , PANTEL, Patrick , SONG, Xinying , YANO, Tae , APACIBLE, Johnson Tan
IPC: G06F17/30
CPC classification number: G06N99/005 , G06F17/30864
Abstract: A set of representations of item-page pairs of items and respective web pages that include the respective items is obtained, each representation including feature function values indicating weights associated with features of associated web pages, the features including page classification features. An annotated set of labeled training data that is annotated with salience annotation values of items for respective web pages that include the items is obtained. The salience annotation values are determined based on a soft function, by determining a first count of a total number of user queries associated with corresponding visits to the respective web pages, and determining a ratio of a second count to the first count, the second count determined as a cardinality of a subset of the corresponding visits that are associated with user queries that include the item, the subset included in the corresponding visits. Models are trained using the annotated set.
Abstract translation: 获得包括各个项目的项目对项目和相应网页的一组表示，每个表示包括指示与相关网页的特征相关联的权重的特征函数值，所述特征包括页面分类特征。 获得标注的训练数据的注释集合，其中包含用于包括项目的各个网页的项目的突出注释值。 通过确定与相应网页的相应访问相关联的用户查询的总数的第一计数，并且确定第二计数与第一计数的比率，第二计数，基于软功能确定突出注释值 确定为与包括项目的用户查询相关联的相应访问的子集的基数，该子集包括在相应访问中。 使用注释集训练模型。
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公开(公告)号：WO2013003007A2
公开(公告)日：2013-01-03
申请号：PCT/US2012/041786
申请日：2012-06-09
Applicant: MICROSOFT CORPORATION
Inventor： GAMON, Michael , AZZAM, Saliha , CAI, Yizheng , CALDWELL, Nicholas , WANG, Ye-Yi
CPC classification number: G06Q10/107 , G06Q10/109
Abstract: Automatically detected and identified tasks and calendar items from electronic communications may be populated into one or more tasks applications and calendaring applications. Text content retrieved from one or more electronic communications may be extracted and parsed for determining whether keywords or terms contained in the parsed text may lead to a classification of the text content or part of the text content as a task. Identified tasks may be automatically populated into a tasks application. Similarly, text content from such sources may be parsed for keywords and terms that may be identified as indicating calendar items, for example, meeting requests. Identified calendar items may be automatically populated into a calendar application as a calendar entry.
Abstract translation: 从电子通信中自动检测和识别的任务和日历项目可以填充到一个或多个任务应用程序和日历应用程序中。 从一个或多个电子通信中检索到的文本内容可以被提取并且被解析，以确定被解析的文本中包含的关键字或者术语是否可以导致将文本内容或者文本内容的一部分分类为任务。 已识别的任务可能会自动填充到任务应用程序中。 类似地，来自这些源的文本内容可以针对关键字和术语进行解析，该关键字和术语可以被标识为指示日历项目，例如会议请求。 识别的日历项目可以自动填充到日历应用程序中作为日历项目。
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公开(公告)号：WO2015053993A1
公开(公告)日：2015-04-16
申请号：PCT/US2014/058506
申请日：2014-10-01
Applicant: MICROSOFT CORPORATION
Inventor： PANTEL, Patrick , GAMON, Michael , FUXMAN, Ariel Damian , KOHLMEIER, Bernhard , CHILAKAMARRI, Pradeep
IPC: G06F17/30
CPC classification number: G06N99/005 , G06F3/04842 , G06F17/3053 , G06F17/30637 , G06F17/3064 , G06F17/30867 , G06N3/04 , G06N7/005
Abstract: A text span forming either a single word or a series of two or more words that a user intended to select is predicted. A document and a location pointer that indicates a particular location in the document are received and input to different candidate text span generation methods. A ranked list of one or more scored candidate text spans is received from each of the different candidate text span generation methods. A machine-learned ensemble model is used to re-score each of the scored candidate text spans that is received from each of the different candidate text span generation methods. The ensemble model is trained using a machine learning method and features from a dataset of true intended user text span selections. A ranked list of re-scored candidate text spans is received from the ensemble model.
Abstract translation: 预测形成用户想要选择的单个单词或一系列两个或多个单词的文本跨度。 接收指示文档中特定位置的文档和位置指针，并输入到不同的候选文本跨度生成方法。 从不同候选文本跨度生成方法的每一个接收一个或多个得分候选文本跨度的排名列表。 机器学习集合模型用于重新评分从每个不同的候选文本跨度生成方法接收的得分的候选文本跨度。 使用机器学习方法和来自真实用户文本跨度选择的数据集的特征训练集合模型。 从集合模型中收到重新评分的候选文本跨度的排名列表。
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公开(公告)号：WO2011090882A3
公开(公告)日：2011-07-28
申请号：PCT/US2011/021164
申请日：2011-01-13
Applicant: MICROSOFT CORPORATION
Inventor： CHILAKAMARRI, Venkat Pradeep , CALDWELL, Nicholas , AZZAM, Saliha , CAI, Yizheng , CHILDS, Benjamin Edward , CHITRAPU, Arun , DIMMICK, Steven , GAMON, Michael , KOHLMEIER, Bernhard SJ , KUO, Shiun-Zu , LUDWIG, Jonathan C. , MANIS, Kimberly , O'KEEFE, Courtney Anne , PEREZ DEL CARPIO, Diego , PHAN, Tu Huy , POWELL, Kevin , SHAH, Jignesh , SHARMA, Ashish , TER HORST, Paulus Willem , WALVEKAR, Mukta Pramod , WANG, Ye-Yi
Abstract: An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the project data store, and are associated with the data item from which it was extracted. The analysis module may be utilized to discover additional information that may be gleaned from content that is already in the project data store.
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公开(公告)号：WO2008140925A1
公开(公告)日：2008-11-20
申请号：PCT/US2008/061804
申请日：2008-04-28
Applicant: MICROSOFT CORPORATION
Inventor： VANDERWENDE, Lucretia H. , GAMON, Michael , MUKHERJEE, Rajatish
CPC classification number: G06Q10/107 , G06F17/30719
Abstract: A summarization system and method. The summarization method includes utilizing a first body of information to obtain a second body of information, which is identified (by a hyperlink, an attachment identifier, a reference, etc.) in the first body of information. A summary of the obtained second body of information is then computed. The computed summary can be displayed to a user and/or stored for later use.
Abstract translation: 总结系统和方法。 总结方法包括利用第一信息体来获得在第一信息体中被识别（通过超链接，附件标识符，参考等）的第二信息体。 然后计算所获得的第二主体的摘要。 计算的摘要可以显示给用户和/或存储以供以后使用。
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Patent Agency Ranking
公开(公告)号：WO2011090881A2
公开(公告)日：2011-07-28
申请号：PCT/US2011/021143
申请日：2011-01-13
Applicant: MICROSOFT CORPORATION
Inventor： CALDWELL, Nicholas , CHILAKAMARRI, Venkat Pradeep , AZZAM, Saliha , CAI, Yizheng , CALCAGNO, Michael , CHILDS, Benjamin Edward , CHITRAPU, Arun , DIMMICK, Steven , GAMON, Michael , KOHLMEIER, Bernhard SJ , KUO, Shiun-Zu , LUDWIG, Jonathan C. , MANIS, Kimberly , O'KEEFE, Courtney Anne , PEREZ DEL CARPIO, Diego , PHAN, Tu Huy , POWELL, Kevin , SHAH, Jignesh , SHARMA, Ashish , TER HORST, Paulus Willem , WALVEKAR, Mukta Pramod , WANG, Ye-Yi
CPC classification number: G06Q10/00
Abstract: Project-related data may be aggregated from various data sources, given context, and may be stored in a data repository or organizational knowledge base that may be available to and accessed by others. Documents, emails, contact information, calendar data, social networking data, and any other content that is related to a project may be brought together within a single user interface, irrespective of its data type. A user may organize and understand content, discover relevant information, and act on it without regard to where the information resides or how it was created.
Abstract translation: 项目相关数据可以根据给定的上下文从各种数据源汇总，并且可以存储在可供其他人使用和访问的数据存储库或组织知识库中。 无论数据类型如何，文档，电子邮件，联系信息，日历数据，社交网络数据以及与项目相关的任何其他内容都可以在单个用户界面内汇集到一起。 用户可以组织和理解内容，发现相关信息并采取行动，而不必考虑信息所在的位置或创建方式。
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公开(公告)号：WO2013003240A3
公开(公告)日：2013-01-03
申请号：PCT/US2012/043848
申请日：2012-06-22
Applicant: MICROSOFT CORPORATION
Inventor： CALDWELL, Nicholas , AZZAM, Saliha , PEREZ DEL CARPIO, Diego , WANG, Ye-Yi , CAI, Yizheng , GAMON, Michael
Abstract: Automatically summarizing electronic communication conversation threads is provided. Electronic mails, text messages, tasks, questions and answers, meeting requests, calendar items, and the like are processed via a combination of natural language processing and heuristics. For a given conversation thread, for example, an electronic mail thread associated with a given task, a text summary of the thread is generated to highlight the most important text in the thread. The text summary is presented to a user in a visual user interface to allow the user to quickly understand the significance or relevance of the thread.
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公开(公告)号：EP2526522A2
公开(公告)日：2012-11-28
申请号：EP11735017.3
申请日：2011-01-13
Applicant: Microsoft Corporation
Inventor： CHILAKAMARRI, Venkat Pradeep , CALDWELL, Nicholas , AZZAM, Saliha , CAI, Yizheng , CHILDS, Benjamin Edward , CHITRAPU, Arun , DIMMICK, Steven , GAMON, Michael , KOHLMEIER, Bernhard SJ , KUO, Shiun-Zu , LUDWIG, Jonathan C. , MANIS, Kimberly , O'KEEFE, Courtney Anne , PEREZ DEL CARPIO, Diego , PHAN, Tu Huy , POWELL, Kevin , SHAH, Jignesh , SHARMA, Ashish , TER HORST, Paulus Willem , WALVEKAR, Mukta Pramod , WANG, Ye-Yi
CPC classification number: G06Q10/00
Abstract: An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the project data store, and are associated with the data item from which it was extracted. The analysis module may be utilized to discover additional information that may be gleaned from content that is already in the project data store.
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公开(公告)号：EP2526482A2
公开(公告)日：2012-11-28
申请号：EP11735016.5
申请日：2011-01-13
Applicant: Microsoft Corporation
Inventor： CALDWELL, Nicholas , CHILAKAMARRI, Venkat Pradeep , AZZAM, Saliha , CAI, Yizheng , CALCAGNO, Michael , CHILDS, Benjamin Edward , CHITRAPU, Arun , DIMMICK, Steven , GAMON, Michael , KOHLMEIER, Bernhard SJ , KUO, Shiun-Zu , LUDWIG, Jonathan C. , MANIS, Kimberly , O'KEEFE, Courtney Anne , PEREZ DEL CARPIO, Diego , PHAN, Tu Huy , POWELL, Kevin , SHAH, Jignesh , SHARMA, Ashish , TER HORST, Paulus Willem , WALVEKAR, Mukta Pramod , WANG, Ye-Yi
CPC classification number: G06Q10/00
Abstract: Project-related data may be aggregated from various data sources, given context, and may be stored in a data repository or organizational knowledge base that may be available to and accessed by others. Documents, emails, contact information, calendar data, social networking data, and any other content that is related to a project may be brought together within a single user interface, irrespective of its data type. A user may organize and understand content, discover relevant information, and act on it without regard to where the information resides or how it was created.
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公开(公告)号：EP2727058A2
公开(公告)日：2014-05-07
申请号：EP12804978.0
申请日：2012-06-09
Applicant: Microsoft Corporation
Inventor： GAMON, Michael , AZZAM, Saliha , CAI, Yizheng , CALDWELL, Nicholas , WANG, Ye-Yi
CPC classification number: G06Q10/107 , G06Q10/109
Abstract: Automatically detected and identified tasks and calendar items from electronic communications may be populated into one or more tasks applications and calendaring applications. Text content retrieved from one or more electronic communications may be extracted and parsed for determining whether keywords or terms contained in the parsed text may lead to a classification of the text content or part of the text content as a task. Identified tasks may be automatically populated into a tasks application. Similarly, text content from such sources may be parsed for keywords and terms that may be identified as indicating calendar items, for example, meeting requests. Identified calendar items may be automatically populated into a calendar application as a calendar entry.
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