知搜-全球专利检索

  1. 登录
  2. 注册

搜索结果

9 条记录 (耗时 0.019 秒)

    Media enrichment system and method
    1.
    发明授权
    Media enrichment system and method 有权
    介质浓缩系统和方法

    公开(公告)号：US09349129B2

    公开(公告)日：2016-05-24

    申请号：US13274812

    申请日：2011-10-17

    申请人： Roelof van Zwol ,  Lluis Garcia Pueyo ,  Lyndon Kennedy ,  Yash Dayal ,  Mridul Muralidharan ,  Thomas Gulik ,  Tejaswi Kasturi

    发明人： Roelof van Zwol ,  Lluis Garcia Pueyo ,  Lyndon Kennedy ,  Yash Dayal ,  Mridul Muralidharan ,  Thomas Gulik ,  Tejaswi Kasturi

    IPC分类号： G06F15/16 ,  G06Q30/02

    CPC分类号： G06Q30/0269 ,  G06Q30/02 ,  G06Q30/0255 ,  G06Q30/0261 ,  G06Q50/01 ,  H04L67/18 ,  H04L67/22 ,  H04L67/306 ,  H04L67/42

    摘要： Disclosed herein are aspects associated with contextual, or related, media enrichment presentation item of a media object served via the internet. A request to annotate a media object in connection with the media object's presentation is received, and a media object identifier and a profile identifier are obtained. The media object's information is retrieved using the media object identifier, and a profile is retrieved using the profile identifier. A response including one or more references to one or more media enrichment presentation items is transmitted, each reference to a media enrichment presentation item comprising information for use in retrieving the media enrichment presentation item for presentation in connection with presentation of the media object.

    摘要翻译： 本文公开了与通过因特网服务的媒体对象的上下文或相关媒体丰富呈现项相关联的方面。 接收到与媒体对象的呈现相关联的媒体对象的注释请求，并且获得媒体对象标识符和简档标识符。 使用媒体对象标识符检索媒体对象的信息，并且使用简档标识符来检索简档。 发送包括对一个或多个媒体富集呈现项目的一个或多个引用的响应，每个引用包括用于检索用于呈现媒体对象的呈现的媒体丰富呈现项目的信息的媒体富集呈现项目。

    MEDIA ENRICHMENT SYSTEM AND METHOD
    2.
    发明申请
    MEDIA ENRICHMENT SYSTEM AND METHOD 有权
    媒体扩充系统与方法

    公开(公告)号：US20130097285A1

    公开(公告)日：2013-04-18

    申请号：US13274812

    申请日：2011-10-17

    申请人： Roelof van Zwol ,  Lluis Garcia Pueyo ,  Lyndon Kennedy ,  Yash Dayal ,  Mridul Muralidharan ,  Thomas Gulik ,  Tejaswi Kasturi

    发明人： Roelof van Zwol ,  Lluis Garcia Pueyo ,  Lyndon Kennedy ,  Yash Dayal ,  Mridul Muralidharan ,  Thomas Gulik ,  Tejaswi Kasturi

    IPC分类号： G06F15/16

    CPC分类号： G06Q30/0269 ,  G06Q30/02 ,  G06Q30/0255 ,  G06Q30/0261 ,  G06Q50/01 ,  H04L67/18 ,  H04L67/22 ,  H04L67/306 ,  H04L67/42

    摘要： Disclosed herein are aspects associated with contextual, or related, media enrichment presentation item of a media object served via the internet. A request to annotate a media object in connection with the media object's presentation is received, and a media object identifier and a profile identifier are obtained. The media object's information is retrieved using the media object identifier, and a profile is retrieved using the profile identifier. A response including one or more references to one or more media enrichment presentation items is transmitted, each reference to a media enrichment presentation item comprising information for use in retrieving the media enrichment presentation item for presentation in connection with presentation of the media object.

    摘要翻译： 本文公开了与通过因特网服务的媒体对象的上下文或相关媒体丰富呈现项相关联的方面。 接收到与媒体对象的呈现相关联的媒体对象的注释请求，并且获得媒体对象标识符和简档标识符。 使用媒体对象标识符检索媒体对象的信息，并且使用简档标识符来检索简档。 发送包括对一个或多个媒体富集呈现项目的一个或多个引用的响应，每个引用包括用于检索用于呈现媒体对象的呈现的媒体丰富呈现项目的信息的媒体富集呈现项目。

    LARGE SCALE ENTITY-SPECIFIC RESOURCE CLASSIFICATION
    3.
    发明申请
    LARGE SCALE ENTITY-SPECIFIC RESOURCE CLASSIFICATION 有权
    大规模实体特定资源分类

    公开(公告)号：US20110264651A1

    公开(公告)日：2011-10-27

    申请号：US12764694

    申请日：2010-04-21

    申请人： Sathiya K. Selvaraj ,  Philip L. Bohannon ,  Mridul Muralidharan ,  Cong Yu ,  Ashwin Machanavajjhala ,  Arun S. Iyer ,  Sundararajan Sellamanickam

    发明人： Sathiya K. Selvaraj ,  Philip L. Bohannon ,  Mridul Muralidharan ,  Cong Yu ,  Ashwin Machanavajjhala ,  Arun S. Iyer ,  Sundararajan Sellamanickam

    IPC分类号： G06F17/30 ,  G06F15/18

    CPC分类号： G06F17/30867

    摘要： A system and method is described for large scale entity-specific classification of each entity-specific set of candidates in a collection of candidates for each specific entity in a collection of entities. The collection of entities may comprise a specific category or domain of entities (e.g. schools, restaurants, manufacturers, products, events, people). Candidates may comprise webpages or other resources with resource identifiers. Entity specific sets of candidates may be found by leveraging search engine query results and user interaction therewith for queries based on entity-specific attributes. The relationship(s) or class(es) for which candidate resources are being classified relative to a specific entity may comprise an authoritative, official home page (OHP), or other class (e.g. fan page, review, aggregator) relative to a specific entity. A feature generator generates entity-specific features for candidates. In accordance with its features, one or more classifiers rank each candidate for a specific class for a specific entity.

    摘要翻译： 描述了用于在实体集合中的每个特定实体的候选集合中的每个实体特定的候选者集合的大规模实体特定分类的系统和方法。 实体的收集可以包括实体（例如学校，餐馆，制造商，产品，事件，人）的特定类别或领域。 候选人可以包括具有资源标识符的网页或其他资源。 可以通过利用搜索引擎查询结果和与其进行用户交互来查找基于实体特定属性的查询来找到实体特定的候选者集合。 候选资源相对于特定实体被分类的关系或类可以包括权威的官方主页（OHP）或相对于特定实体的其他类（例如，粉丝专页，评论，聚合者） 实体。 特征生成器为候选者生成实体特定的特征。 根据其特征，一个或多个分类器为特定实体的特定类别的每个候选者排名。

    Apparatus and methods for operator training in information extraction
    4.
    发明授权
    Apparatus and methods for operator training in information extraction 有权
    信息提取操作员训练的装置和方法

    公开(公告)号：US08412652B2

    公开(公告)日：2013-04-02

    申请号：US12398126

    申请日：2009-03-04

    申请人： Cong Yu ,  Mridul Muralidharan ,  Arun Shankar Iyer ,  Philip Lewis Bohannon

    发明人： Cong Yu ,  Mridul Muralidharan ,  Arun Shankar Iyer ,  Philip Lewis Bohannon

    IPC分类号： G06F15/18

    CPC分类号： G09B19/00

    摘要： After receipt of a training and execution plan, a trainer operator is automatically trained based on specified training documents so as to generate a new trained operator for extracting information from documents. The new trained operator is a new version of the trainee operator. Both trainee operators are automatically retained for later use in extracting information from one or more unknown documents. After receipt of the training and execution plan, the new trained operator is automatically executed on one or more unknown documents so as to extract information from such one or more unknown documents.

    摘要翻译： 在接收到训练和执行计划之后，训练员操作员将根据指定的培训文件自动进行培训，以便生成一个新的训练有素的操作员，从文档中提取信息。 新受过训练的操作员是受训操作员的新版本。 两名学员操作员都会自动保留以供以后使用，从一个或多个未知文件中提取信息。 在接收到训练和执行计划之后，新的受过训练的操作者被自动执行一个或多个未知文件，以从这样的一个或多个未知文件中提取信息。

    Large scale entity-specific resource classification
    6.
    发明授权
    Large scale entity-specific resource classification 有权
    大规模实体专有资源分类

    公开(公告)号：US09317613B2

    公开(公告)日：2016-04-19

    申请号：US12764694

    申请日：2010-04-21

    申请人： Sathiya K. Selvaraj ,  Philip L. Bohannon ,  Mridul Muralidharan ,  Cong Yu ,  Ashwin Machanavajjhala ,  Arun S. Iyer ,  Sundararajan Sellamanickam

    发明人： Sathiya K. Selvaraj ,  Philip L. Bohannon ,  Mridul Muralidharan ,  Cong Yu ,  Ashwin Machanavajjhala ,  Arun S. Iyer ,  Sundararajan Sellamanickam

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30867

    摘要： A system and method is described for large scale entity-specific classification of each entity-specific set of candidates in a collection of candidates for each specific entity in a collection of entities. The collection of entities may comprise a specific category or domain of entities (e.g. schools, restaurants, manufacturers, products, events, people). Candidates may comprise webpages or other resources with resource identifiers. Entity specific sets of candidates may be found by leveraging search engine query results and user interaction therewith for queries based on entity-specific attributes. The relationship(s) or class(es) for which candidate resources are being classified relative to a specific entity may comprise an authoritative, official home page (OHP), or other class (e.g. fan page, review, aggregator) relative to a specific entity. A feature generator generates entity-specific features for candidates. In accordance with its features, one or more classifiers rank each candidate for a specific class for a specific entity.

    摘要翻译： 描述了用于在实体集合中的每个特定实体的候选集合中的每个实体特定的候选者集合的大规模实体特定分类的系统和方法。 实体的收集可以包括实体（例如学校，餐馆，制造商，产品，事件，人）的特定类别或领域。 候选人可以包括具有资源标识符的网页或其他资源。 可以通过利用搜索引擎查询结果和与其进行用户交互来查找基于实体特定属性的查询来找到实体特定的候选者集合。 候选资源相对于特定实体被分类的关系或类可以包括权威的官方主页（OHP）或相对于特定实体的其他类（例如，粉丝专页，评论，聚合者） 实体。 特征生成器为候选者生成实体特定的特征。 根据其特征，一个或多个分类器为特定实体的特定类别的每个候选者排名。

    APPARATUS AND METHODS FOR OPERATOR TRAINING IN INFORMATION EXTRACTION
    9.
    发明申请
    APPARATUS AND METHODS FOR OPERATOR TRAINING IN INFORMATION EXTRACTION 有权
    信息提取中操作员培训的装置和方法

    公开(公告)号：US20100227301A1

    公开(公告)日：2010-09-09

    申请号：US12398126

    申请日：2009-03-04

    申请人： Cong Yu ,  Mridul Muralidharan ,  Arun Shankar Iyer ,  Philip Lewis Bohannon

    发明人： Cong Yu ,  Mridul Muralidharan ,  Arun Shankar Iyer ,  Philip Lewis Bohannon

    IPC分类号： G09B19/00

    CPC分类号： G09B19/00

    摘要： Disclosed are methods and apparatus for extracting information from one or more documents. A training and execution plan is received, and such plan specifies invocation of a trainer operator for initiating training of a trainee operator based on a set of training documents so as to generate a new trained operator that is to then be invoked so as to extract information from one or more unknown documents. The trainee operator is configured to extract information from one or more unknown documents, and each training document is associated with classified information. After receipt of the training and execution plan, the trainer operator is automatically executed to train the trainee operator based on the specified training documents so as to generate a new trained operator for extracting information from documents. The new trained operator is a new version of the trainee operator. After receipt of the training and execution plan, both the trainee operator are automatically retained for later use in extracting information from one or more unknown documents and the new trained operator for later use in extracting information from one or more unknown documents. After receipt of the training and execution plan, the new trained operator is automatically executed on one or more unknown documents so as to extract information from such one or more unknown documents.

    摘要翻译： 公开了用于从一个或多个文档中提取信息的方法和装置。 接收到训练和执行计划，并且该计划规定了基于一组训练文件来引导训练者操作员启动对训练操作员的训练，以便产生一个新的经过训练的操作者，然后被调用以便提取信息 来自一个或多个未知文件。 受训操作员被配置为从一个或多个未知文档中提取信息，并且每个训练文档与分类信息相关联。 在收到培训和执行计划后，培训师操作员将根据指定的培训文件自动执行培训受训操作员，以便生成一个新的训练有素的操作员，从文档中提取信息。 新受过训练的操作员是受训操作员的新版本。 在接收到训练和执行计划之后，训练者操作员将被自动保留以便以后用于从一个或多个未知文件中提取信息，并且新训练的操作者用于随后用于从一个或多个未知文档中提取信息。 在接收到训练和执行计划之后，新的受过训练的操作者被自动执行一个或多个未知文件，以从这样的一个或多个未知文件中提取信息。