SCALABLE AND EFFECTIVE DOCUMENT SUMMARIZATION FRAMEWORK

    公开(公告)号:US20170228457A1

    公开(公告)日:2017-08-10

    申请号:US15019646

    申请日:2016-02-09

    Applicant: Yahoo! Inc.

    CPC classification number: G06F17/30719 G06F17/271 G06F17/277 G06F17/279

    Abstract: Systems, methods, and apparatuses are disclosed for adaptively generating a summary of web-based content based on an attribute of a mobile communication device having transmitted a request for the web-based content. By adaptively generating the summary based on an attribute of the mobile communication device such as an amount of visual space available or a number of characters permitted in the interface, a display of the web-based content may be controlled on the mobile communication device in a way that was not previously available. This enables control of displaying web-based content that has been adaptively generated to be displayed on limited display screens based on a learned attribute of the mobile communication device requesting the web-based content.

    Entity disambiguation
    2.
    发明授权

    公开(公告)号:US11907858B2

    公开(公告)日:2024-02-20

    申请号:US15425978

    申请日:2017-02-06

    Applicant: Yahoo!, Inc.

    CPC classification number: G06N5/04 G06F16/36

    Abstract: One or more computing devices, systems, and/or methods for entity disambiguation are provided. For example, a document may be analyzed to identify a first mention and a second mention. One or more techniques may be used to select and link a candidate entity, from a first set of candidate entities, to the first mention and select and link a candidate entity, from a second set of candidate entities, to the second mention.

    ENTITY DISAMBIGUATION
    3.
    发明申请

    公开(公告)号:US20180225576A1

    公开(公告)日:2018-08-09

    申请号:US15425978

    申请日:2017-02-06

    Applicant: Yahoo!, Inc.

    CPC classification number: G06N5/04 G06F16/36

    Abstract: One or more computing devices, systems, and/or methods for entity disambiguation are provided. For example, a document may be analyzed to identify a first mention and a second mention. One or more techniques may be used to select and link a candidate entity, from a first set of candidate entities, to the first mention and select and link a candidate entity, from a second set of candidate entities, to the second mention.

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