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    Generating and applying data extraction templates
    3.
    发明授权
    Generating and applying data extraction templates 有权

    公开(公告)号：US10216838B1

    公开(公告)日：2019-02-26

    申请号：US15394610

    申请日：2016-12-29

    Applicant: Google Inc.

    Inventor： Luis Garcia Pueyo ,  Vanja Josifovski ,  Amitabh Saikia ,  Jie Yang ,  Mike Bendersky ,  Srinidhi Viswanatha ,  Marc-Allen Cartright

    IPC: G06F17/30 ,  G06F21/62 ,  G06F17/27

    Abstract: Methods, apparatus, and computer-readable media are provided for generating and applying data extraction templates. In various implementations, a corpus of structured communications such as emails may be grouped into clusters based on one or more similarities between the structured communications. A set of structural paths may be identified from structured communications of a particular cluster. One or more structural paths of the set may be classified as transient wherein a count of occurrences of one or more associated segments of text across the particular cluster satisfies a criterion. One or more transient paths may be assigned a semantic data type and/or a confidentiality designation based on various signals. A data extraction template may be generated to extract, from subsequent structured communications, segments of text associated with transient (and in some cases, non-confidential) structural paths.

    Selecting pattern matching segments for electronic communication clustering
    4.
    发明授权
    Selecting pattern matching segments for electronic communication clustering 有权

    公开(公告)号：US10216837B1

    公开(公告)日：2019-02-26

    申请号：US14584905

    申请日：2014-12-29

    Applicant: Google Inc.

    Inventor： Amitabh Saikia ,  Marc-Allen Cartright ,  Luis Garcia Pueyo ,  Vanja Josifovski ,  Jie Yang ,  Mike Bendersky ,  MyLinh Yang

    IPC: G06F17/30 ,  G06F17/00 ,  G06N5/00 ,  G06Q10/10

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for selecting pattern matching segments suitable for electronic communication clustering. A set of pattern matching segments may be identified that match at least one of a corpus of electronic communication addresses. A measure of coverage of each of the set of pattern matching segments across the corpus of electronic communication addresses may be determined. A score associated with each pattern matching segment may be determined based on the measure of coverage and one or more measures of flexibility associated with each of the set of pattern matching segments. One or more of the pattern matching segments may be selected based on the determine scores. A corpus of electronic communications may then be grouped into a plurality of clusters based on a comparison of the one or more selected pattern matching segments to electronic communication addresses associated with the corpus of electronic communications.

    Identifying phishing communications using templates
    6.
    发明授权
    Identifying phishing communications using templates 有权
    使用模板识别网络钓鱼通信

    公开(公告)号：US09596265B2

    公开(公告)日：2017-03-14

    申请号：US14711407

    申请日：2015-05-13

    Applicant: Google Inc.

    Inventor： Mike Bendersky ,  Luis Garcia Pueyo ,  Kashyap Ramesh Puranik ,  Amitabh Saikia ,  Jie Yang ,  Marc-Allen Cartright

    IPC: H04L29/06

    CPC classification number: H04L63/1483 ,  H04L63/0254 ,  H04L63/1425 ,  H04L63/20

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for determining whether communications are attempts at phishing. In various implementations, a potentially-deceptive communication may be matched to one or more templates of a plurality of templates. Each template may represent content shared among a cluster of communications sent by a trustworthy entity. In various implementations, it may be determined that an address associated with the communication is not affiliated with one or more trustworthy entities associated with the one or more matched templates. In various implementations, the communication may be classified as a phishing attempt based on the determining.

    Abstract translation: 提供了方法，装置，系统和计算机可读介质，用于确定通信是否是网络钓鱼的尝试。 在各种实现中，潜在的欺骗性通信可以与多个模板中的一个或多个模板相匹配。 每个模板可以表示由可信赖实体发送的通信集群之间共享的内容。 在各种实现中，可以确定与通信相关联的地址不隶属于与一个或多个匹配模板相关联的一个或多个可信赖实体。 在各种实现中，可以基于确定将通信分类为网络钓鱼尝试。

    Generating and applying data extraction templates
    8.
    发明授权
    Generating and applying data extraction templates 有权

    公开(公告)号：US09785705B1

    公开(公告)日：2017-10-10

    申请号：US14516122

    申请日：2014-10-16

    Applicant: Google Inc.

    Inventor： Marc-Allen Cartright ,  Luis Garcia Pueyo ,  Vanja Josifovski ,  Amitabh Saikia ,  Jie Yang ,  Mike Bendersky ,  MyLinh Yang

    IPC: G06F17/30

    CPC classification number: G06F17/30705

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for generating and applying data extraction templates. In various implementations, a corpus of plain text communications such as emails may be grouped into clusters based on one or more similarities between the plain text communications. One or more segments of communications of a particular cluster may be classified as transient based on textual pattern matching. One or more other segments of the communications of the particular cluster may be classified as transient based on various criteria. One or more transient segments may be assigned a generic and/or specific semantic data type and/or a confidentiality designation based on various signals. A data extraction template may be generated to extract, from subsequent plain text communications, content associated with transient (and in some cases, non-confidential) segments.

    Generating and applying data extraction templates
    9.
    发明授权
    Generating and applying data extraction templates 有权
    生成和应用数据提取模板

    公开(公告)号：US09563689B1

    公开(公告)日：2017-02-07

    申请号：US14470510

    申请日：2014-08-27

    Applicant: Google Inc.

    Inventor： Luis Garcia Pueyo ,  Vanja Josifovski ,  Amitabh Saikia ,  Jie Yang ,  Mike Bendersky ,  Srinidhi Viswanatha ,  Marc-Allen Cartright

    IPC: G06F17/30

    CPC classification number: G06F17/30705

    Abstract: Methods, apparatus, and computer-readable media are provided for generating and applying data extraction templates. In various implementations, a corpus of structured communications such as emails may be grouped into clusters based on one or more similarities between the structured communications. A set of structural paths may be identified from structured communications of a particular cluster. One or more structural paths of the set may be classified as transient wherein a count of occurrences of one or more associated segments of text across the particular cluster satisfies a criterion. One or more transient paths may be assigned a semantic data type and/or a confidentiality designation based on various signals. A data extraction template may be generated to extract, from subsequent structured communications, segments of text associated with transient (and in some cases, non-confidential) structural paths.

    Abstract translation: 提供了用于生成和应用数据提取模板的方法，装置和计算机可读介质。 在各种实现中，诸如电子邮件的结构化通信语料库可以基于结构化通信之间的一个或多个相似性被分组成群集。 可以从特定集群的结构化通信中识别一组结构路径。 该集合的一个或多个结构路径可以被分类为瞬时，其中跨越特定集群的一个或多个相关联的文本段的出现次数满足标准。 可以基于各种信号为一个或多个瞬态路径分配语义数据类型和/或机密性指定。 可以生成数据提取模板，以从后续结构化通信中提取与瞬态（以及在一些情况下，非机密）结构路径相关联的文本段。

    Generating and applying event data extraction templates
    10.
    发明授权
    Generating and applying event data extraction templates 有权

    公开(公告)号：US10360537B1

    公开(公告)日：2019-07-23

    申请号：US15484933

    申请日：2017-04-11

    Applicant: Google Inc.

    Inventor： Mike Bendersky ,  Maureen Heymans ,  Jinan Lou ,  Jie Yang ,  MyLinh Yang ,  Amitabh Saikia ,  Marc-Allen Cartright ,  Vanja Josifovski ,  Hui Tan ,  Luis Garcia Pueyo

    IPC: G06F17/30 ,  G06Q10/10 ,  G06F16/248 ,  G06F16/9535 ,  H04W4/029

    Abstract: Techniques are described herein for generating and applying event data extraction templates. In various implementations, a data extraction template may be applied to structured communications to extract, from each structured communication, event data associated with a transient markup language path indicated in the data extraction template. The data extraction template may include an event-related semantic data type assigned to the transient markup language path and a strength of association between the transient structural path and the event-related semantic data type. Feedback may be obtained concerning event data extracted from one or more of the structured communications. Based on the feedback, the strength of association between the transient markup language path and the event-related semantic data type may be altered. The data extraction template may then be applied to a subsequent structured communication to extract new event data from the structured communication based on the altered strength of association.

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