Converting and input script to a natural language description
    2.
    发明授权
    Converting and input script to a natural language description 有权
    将脚本转换并输入到自然语言描述中

    公开(公告)号:US09342301B2

    公开(公告)日:2016-05-17

    申请号:US13922554

    申请日:2013-06-20

    CPC classification number: G06F8/73 G06F8/36

    Abstract: Converting an input script includes obtaining an input script comprising at least one variable, obtaining at least one translation transformation rule from a library, converting the input script into a tree representation, folding the tree representation to hide a subset of variables in the input script to create a folded tree, and generating a natural language text by applying at least one translation transformation rule from the library to the folded tree.

    Abstract translation: 转换输入脚本包括获得包括至少一个变量的输入脚本,从库获得至少一个转换变换规则,将输入脚本转换成树表示,折叠树表示以隐藏输入脚本中的变量子集,以 创建一个折叠的树,并通过从库到折叠的树应用至少一个翻译转换规则来生成自然语言文本。

    CONVERTING AN INPUT SCRIPT
    3.
    发明申请
    CONVERTING AN INPUT SCRIPT 有权
    转换输入脚本

    公开(公告)号:US20140379322A1

    公开(公告)日:2014-12-25

    申请号:US13922554

    申请日:2013-06-20

    CPC classification number: G06F8/73 G06F8/36

    Abstract: Converting an input script includes obtaining an input script comprising at least one variable, obtaining at least one translation transformation rule from a library, converting the input script into a tree representation, folding the tree representation to hide a subset of variables in the input script to create a folded tree, and generating a natural language text by applying at least one translation transformation rule from the library to the folded tree.

    Abstract translation: 转换输入脚本包括获得包括至少一个变量的输入脚本,从库获得至少一个转换变换规则,将输入脚本转换成树表示,折叠树表示以隐藏输入脚本中的变量子集,以 创建一个折叠的树,并通过从库到折叠的树应用至少一个翻译转换规则来生成自然语言文本。

    DETERMINING CANDIDATE SCRIPTS FROM A CATALOG OF SCRIPTS
    4.
    发明申请
    DETERMINING CANDIDATE SCRIPTS FROM A CATALOG OF SCRIPTS 审中-公开
    从脚本目录中确定候选人的脚本

    公开(公告)号:US20140324839A1

    公开(公告)日:2014-10-30

    申请号:US13874235

    申请日:2013-04-30

    CPC classification number: G06F9/44536

    Abstract: According to an example, candidate scripts may be determined from a catalog of scripts to perform a requested operation. In determining the candidate scripts, a request for an operation may be received, in which the request includes an input and an output. In addition, based upon the input and the output, a plurality of candidate scripts that are to perform the requested operation may be identified from the catalog of scripts, in which each of the plurality of candidate scripts comprises at least one of a script that is to perform the requested operation individually or a number of scripts that, in combination, are to perform the requested operation. Moreover, a score for each of plurality of candidate scripts may be calculated based upon a plurality of factors respectively corresponding to the plurality of candidate scripts and the plurality of candidate scripts and the calculated scores may be outputted.

    Abstract translation: 根据示例,候选脚本可以从脚本目录确定以执行所请求的操作。 在确定候选脚本时,可以接收对操作的请求,其中请求包括输入和输出。 此外,基于输入和输出,可以从脚本目录中识别要执行所请求的操作的多个候选脚本,其中多个候选脚本中的每一个包括至少一个脚本, 单独地执行所请求的操作或组合地执行所请求的操作的多个脚本。 此外,可以基于分别对应于多个候选脚本和多个候选脚本的多个因子来计算多个候选脚本中的每一个的分数,并且可以输出计算的分数。

    Reading difficulty level based resource recommendation

    公开(公告)号:US11238225B2

    公开(公告)日:2022-02-01

    申请号:US15542918

    申请日:2015-01-16

    Abstract: Examples associated with reading difficulty level based resource recommendation are disclosed. One example may involve instructions stored on a computer readable medium. The instructions, when executed on a computer, may cause the computer to obtain a set of candidate resources related to a source document. The candidate resources may be obtained based on content extracted from the source document. The instructions may also cause the computer to identify reading difficulty levels of members of the set of candidate resources. The instructions may also cause the computer to recommend a selected candidate resource to a user. The selected candidate resource may be recommended based on subject matter similarity between the selected candidate resource and the source document. The selected candidate resource may also be recommended based on reading difficulty level similarity between the selected candidate resource and the source document.

    Automated content selection
    6.
    发明授权

    公开(公告)号:US10664483B2

    公开(公告)日:2020-05-26

    申请号:US15114395

    申请日:2014-01-30

    Abstract: Automated content selection is disclosed. An example method includes generating a plurality of rankings for each document in a set of input documents, each ranking based on separate interesting document properties. The method also includes selecting a subset of the set of input documents, wherein each document selected for the subset is based on rankings of the selected document. The method also includes determining interesting properties of the subset. The method also includes selecting a subset with respect to parameters being optimized. The method also includes outputting a composition including the documents in the subset.

    EXTERNAL RESOURCE IDENTIFICATION
    7.
    发明申请

    公开(公告)号:US20170270098A1

    公开(公告)日:2017-09-21

    申请号:US15508460

    申请日:2014-09-02

    CPC classification number: G06F17/2785 G06F3/0481 G06F17/248 G06F17/278

    Abstract: Systems and methods associated with external resource identification are disclosed. One example method may be embodied on a non-transitory computer-readable medium storing computer-executable instructions. The instructions, when executed by a computer may cause the computer to perform the method. The method includes classifying a segment of a document into a member of a set of topics discussed within the document. The method also includes identifying, based on the structure of the segment and keywords from the segment, information that a reader of the document could seek upon reading the segment. The method also includes obtaining, based on the member of the set of topics, a set of candidate external resources that potentially contain the information. The method also includes presenting, in response to a user interaction with the document, a member of the set of candidate external resources identified as being likely to contain the information.

    Learning Graph
    8.
    发明申请
    Learning Graph 审中-公开
    学习图

    公开(公告)号:US20170039297A1

    公开(公告)日:2017-02-09

    申请号:US15101879

    申请日:2013-12-29

    CPC classification number: G06F16/9024 G06F16/93 G06F17/21 G06N20/00

    Abstract: A learning graph is generated for documents according to a sequencing approach. The learning graph includes nodes corresponding to the documents and edges. Each edge connects two of the nodes and indicates a sequencing relationship between two of the documents to which the two of the nodes correspond that specifies an order in which the two of the documents are to be reviewed in satisfaction of the learning goal. The learning graph is a directed graph specifying a learning path through the documents to achieve a learning goal in relation to a subject.

    Abstract translation: 根据排序方法为文档生成学习图。 学习图包括对应于文档和边缘的节点。 每个边缘连接两个节点,并指示两个节点对应的两个文档之间的排序关系,指定两个文档的顺序,以满足学习目标的要求。 学习图是指定通过文档的学习路径以实现与主题相关的学习目标的有向图。

    Composite To-Print Product
    9.
    发明申请
    Composite To-Print Product 审中-公开
    复合打印产品

    公开(公告)号:US20150363140A1

    公开(公告)日:2015-12-17

    申请号:US14761742

    申请日:2013-01-24

    Abstract: A system can include a print history analyzer to generate history data based on a document history that includes a list of documents selected to be printed. The history data can characterize a content and layout of documents selected for printing. The system can also include a user print profile builder to generate a user print profile based on the history data. The user print profile can characterize printing preferences of a user. The system can further include a recommendation engine to generate a composite to-print product for the user. The composite to-print product can be based on the user print profile.

    Abstract translation: 系统可以包括打印历史分析器,以基于包括选择要打印的文档的列表的文档历史来生成历史数据。 历史数据可以表征选择用于打印的文档的内容和布局。 系统还可以包括用户打印配置文件构建器以基于历史数据生成用户打印配置文件。 用户打印配置文件可以表征用户的打印首选项。 该系统还可以包括用于为用户生成复合打印产品的推荐引擎。 复合打印产品可以基于用户打印配置文件。

    Print intent type
    10.
    发明授权
    Print intent type 有权
    打印意图类型

    公开(公告)号:US09019548B2

    公开(公告)日:2015-04-28

    申请号:US13749134

    申请日:2013-01-24

    Abstract: A system can include a page type classifier to determine a page type of a file. The system can also include a print intent identifier to map the page type of the file to a print intent subtype of the file. The print intent identifier can also map the print intent subtype of the file to a print intent type of the file. The print intent type of the file can characterize a reason to at least one of print and store the file.

    Abstract translation: 系统可以包括页面类型分类器来确定文件的页面类型。 系统还可以包括打印意图标识符,以将文件的页面类型映射到文件的打印意图子类型。 打印意图标识符还可以将文件的打印意图子类型映射到文件的打印意图类型。 文件的打印意图类型可以描述打印和存储文件中至少一个的原因。

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