Selecting textual representations for entity attribute values

    公开(公告)号:US09727545B1

    公开(公告)日:2017-08-08

    申请号:US14096746

    申请日:2013-12-04

    Applicant: Google Inc.

    CPC classification number: G06F17/24 G06F17/248 G06F17/30864 G06F17/30867

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting textual representations for entity attribute values. One of the methods includes receiving, for presentation to a user, data identifying a relevant entity and a respective presentation attribute value for each of a plurality of presentation attributes associated with the relevant entity; obtaining user profile data for the user; selecting a respective textual representation for each of the presentation attribute values, wherein selecting the textual representations comprises selecting a first alternative textual representation for a first presentation attribute value based on the user profile data; and providing data identifying the entity and the textual representations for presentation to the user.

    Grouping related entities
    2.
    发明授权
    Grouping related entities 有权
    分组相关实体

    公开(公告)号:US09411857B1

    公开(公告)日:2016-08-09

    申请号:US13930133

    申请日:2013-06-28

    Applicant: GOOGLE INC.

    CPC classification number: G06F17/3053 G06F17/30864

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for grouping related entities. One of the methods includes receiving a search request that includes query text that identifies a first entity. A first entity node in an entity graph that represents the first entity is identified. A highest ranked first group of related entity nodes from a ranking of a plurality of groups of related entity nodes is identified, wherein each related entity node in the first group is connected to the first entity node by a respective path from the related entity node through one or more links in an entity graph. A presentation of information associated with one or more entity nodes in the first group of related entity nodes is provided.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于分组相关实体。 其中一种方法包括接收包括识别第一实体的查询文本的搜索请求。 识别表示第一实体的实体图中的第一实体节点。 识别来自多个相关实体节点组的排名的最高排名的第一组相关实体节点,其中第一组中的每个相关实体节点通过来自相关实体节点的相应路径连接到第一实体节点, 实体图中的一个或多个链接。 提供了与第一组相关实体节点中的一个或多个实体节点相关联的信息的呈现。

    Rich content for query answers
    3.
    发明授权
    Rich content for query answers 有权
    内容丰富的查询答案

    公开(公告)号:US09336318B2

    公开(公告)日:2016-05-10

    申请号:US14340727

    申请日:2014-07-25

    Applicant: Google Inc.

    Abstract: Methods and systems for providing rich content with an answer to a question query. A method includes receiving a query determined to be a question query and a corresponding answer generated in response to the question query, generating a contextual query that includes an element relating to the question query and an element relating to the answer; submitting the contextual query to a rich content search process and receiving data specifying a first set of rich content items responsive to the contextual query, determining first rich content item in the first set of rich content items that meet a context condition that is indicative of a rich content item providing contextual information of both elements of the question query and the answer query; and preferentially selecting from the first content items relative to the second rich content items to be provided as one or more answer rich content items.

    Abstract translation: 为问题查询提供丰富内容的方法和系统。 一种方法包括接收确定为问题查询的查询和响应于问题查询产生的对应答案,生成包括与问题查询相关的元素和与答案相关的元素的语境查询; 将所述上下文查询提交给富内容搜索处理并且响应于所述上下文查询接收指定第一组富内容项目的数据,确定所述第一丰富内容项集合中的第一富内容项,所述第一丰富内容项满足指示 丰富的内容项目提供问题查询和答案查询的两个元素的上下文信息; 并且优选地从第一内容项目中相对于作为一个或多个应答富内容项目提供的第二富内容项目进行选择。

    Rich content for query answers
    4.
    发明授权
    Rich content for query answers 有权
    内容丰富的查询答案

    公开(公告)号:US08819006B1

    公开(公告)日:2014-08-26

    申请号:US14145086

    申请日:2013-12-31

    Applicant: Google Inc.

    Abstract: Methods and systems for providing rich content with an answer to a question query. A method includes receiving a query determined to be a question query and a corresponding answer generated in response to the question query, generating a contextual query that includes an element relating to the question query and an element relating to the answer; submitting the contextual query to a rich content search process and receiving data specifying a first set of rich content items responsive to the contextual query, determining first rich content item in the first set of rich content items that meet a context condition that is indicative of a rich content item providing contextual information of both elements of the question query and the answer query; and preferentially selecting from the first content items relative to the second rich content items to be provided as one or more answer rich content items.

    Abstract translation: 为问题查询提供丰富内容的方法和系统。 一种方法包括接收确定为问题查询的查询和响应于问题查询产生的对应答案,生成包括与问题查询相关的元素和与答案相关的元素的语境查询; 将所述上下文查询提交给富内容搜索处理并且响应于所述上下文查询接收指定第一组富内容项目的数据,确定所述第一丰富内容项集合中的第一富内容项,所述第一丰富内容项满足指示 丰富的内容项目提供问题查询和答案查询的两个元素的上下文信息; 并且优选地从第一内容项目中相对于作为一个或多个应答富内容项目提供的第二富内容项目进行选择。

    Providing an explanation of a missing fact estimate

    公开(公告)号:US10318540B1

    公开(公告)日:2019-06-11

    申请号:US15393769

    申请日:2016-12-29

    Applicant: GOOGLE INC.

    Abstract: Systems and methods are disclosed for providing an explanation of an estimate for information missing from a data graph. An example method may include receiving a query that requests information for a first entity and receiving an estimate for the information, the estimate being based on a plurality of features of a joint distribution model. The method may include determining respective contribution scores for the plurality of features, selecting a quantity of the features with highest contribution scores, generating, using the selected quantity of features, an explanation for the estimate; and providing the explanation and the estimate as part of a search result for the query.

    Semi structured question answering system

    公开(公告)号:US09842166B1

    公开(公告)日:2017-12-12

    申请号:US14455142

    申请日:2014-08-08

    Applicant: GOOGLE INC.

    CPC classification number: G06F17/30864 G06F17/30958

    Abstract: In one example embodiment, a computer system includes at least one processor and a memory storing a data graph and instructions. The instructions, when executed by the at least one processor, cause the system to generate a template sentence based on a fact including a first node, a second node and a string, wherein the first node and the second node exist in the data graph and the string represents a fact that is absent from the data graph, search the internet for a document including the template sentence, and upon determining the internet includes the document with the template sentence, infer the fact by generating a series of connections between nodes and edges of the data graph that together with the first node and the second node are configured to represent the fact, the series of connections defining a path, in the data graph, from the first node to the second node.

    Systems and methods for searching quotes of entities using a database

    公开(公告)号:US09727617B1

    公开(公告)日:2017-08-08

    申请号:US14203504

    申请日:2014-03-10

    Applicant: Google Inc.

    CPC classification number: G06F17/30675

    Abstract: Systems and methods are provided for searching and identifying quotes in response to a query from a user. Consistent with certain embodiments, systems and methods are provided for identifying one or more subject entities associated with the query and for identifying, from a database or from search results obtained in response to the query, a set of quotes corresponding to the one or more subject entities. Further, systems and methods are provided for determining quote scores for the identified quotes based on at least one of the relationship of each quote to the one or more subject entities, the recency of each quote, and the popularity of each quote. Additionally, systems and methods are provided for organizing the identified quotes in a rank order based on the quote scores and selecting quotes based on the rank order or based on the quote scores. In addition, systems and methods are provided for transmitting information to display the selected quotes on a display device.

    AUTOMATED CALL REQUESTS WITH STATUS UPDATES
    9.
    发明申请

    公开(公告)号:US20170359464A1

    公开(公告)日:2017-12-14

    申请号:US15621897

    申请日:2017-06-13

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to synthetic call status updates. In some implementations, a method includes determining, by a task manager module, that a triggering event has occurred to provide a current status of a user call request. The method may then determine, by the task manager module, the current status of the user call request. A representation of the current status of the user call request is generated. Then, the generated representation of the current status of the user call request is provided to the user.

    ESCALATION TO A HUMAN OPERATOR
    10.
    发明申请

    公开(公告)号:US20170358296A1

    公开(公告)日:2017-12-14

    申请号:US15621923

    申请日:2017-06-13

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to synthetic call initiations and bailouts. In some implementations, a method includes analyzing, by a call initiating system, a real-time conversation between a first human and the bot during a phone call between the first human on a first end of the phone call and the bot on a second end of the phone call. The call initiating system can determine, based on the analysis of the real-time conversation, whether the phone call should be transitioned from the bot to a second human on the second end of the phone call. In response to determining that the phone call should be transitioned to a second human on the second end of the phone call, the call initiating system transitions the phone call from the bot to the second human.

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