Querying a data graph using natural language queries

    公开(公告)号:US10810193B1

    公开(公告)日:2020-10-20

    申请号:US13801598

    申请日:2013-03-13

    Applicant: Google Inc.

    Abstract: Implementations include systems and methods for querying a data graph. An example method includes receiving a machine learning module trained to produce a model with multiple features for a query, each feature representing a path in a data graph. The method also includes receiving a search query that includes a first search term, mapping the search query to the query, and mapping the first search term to a first entity in the data graph. The method may also include identifying a second entity in the data graph using the first entity and at least one of the multiple weighted features, and providing information relating to the second entity in a response to the search query. Some implementations may also include training the machine learning module by, for example, generating positive and negative training examples from an answer to a query.

    QUESTION ANSWERING TO POPULATE KNOWLEDGE BASE
    2.
    发明申请
    QUESTION ANSWERING TO POPULATE KNOWLEDGE BASE 审中-公开
    解答知识库的问题

    公开(公告)号:US20140280307A1

    公开(公告)日:2014-09-18

    申请号:US13842606

    申请日:2013-03-15

    Applicant: GOOGLE INC.

    CPC classification number: G06F17/30657 G06N5/025

    Abstract: Methods and systems are provided for a question answering. In some implementations, a data element to be updated is identified in a knowledge graph and a query is generated based at least in part on the data element. The query is provided to a query processing engine. Information is received from the query processing engine in response to the query. The knowledge graph is updated based at least in part on the received information.

    Abstract translation: 提供的方法和系统用于回答问题。 在一些实现中,在知识图中识别要更新的数据元素,并且至少部分地基于数据元素生成查询。 该查询被提供给查询处理引擎。 响应于查询,从查询处理引擎收到信息。 至少部分地基于所接收的信息更新知识图。

    Inducing command inputs from property sequences
    3.
    发明授权
    Inducing command inputs from property sequences 有权
    从属性序列引导命令输入

    公开(公告)号:US09405849B1

    公开(公告)日:2016-08-02

    申请号:US15084166

    申请日:2016-03-29

    Applicant: Google Inc.

    CPC classification number: G06F17/30899 G06F17/2705

    Abstract: A method identifies pairs of first and second command inputs from respective user device sessions for which the first and second operation data are indicative of a first operation failure and a second operation success. The first operation data indicate a first operation performed on data from a first resource property in response to the first command input, and the second operation data indicate a second operation performed on data from a second resource property in response to the second command input. They system determines, from the identified pairs of first and second command inputs, command inputs for which a parsing rule that is associated with the second operation is to be generated.

    Abstract translation: 一种方法识别来自相应用户设备会话的第一和第二命令输入对,其中第一和第二操作数据表示第一操作失败和第二操作成功。 第一操作数据指示响应于第一命令输入对来自第一资源属性的数据执行的第一操作,并且第二操作数据响应于第二命令输入指示针对来自第二资源属性的数据执行的第二操作。 它们系统从所识别的第一和第二命令输入对确定要生成与第二操作相关联的解析规则的命令输入。

    Inducing command inputs from property sequences

    公开(公告)号:US09330195B1

    公开(公告)日:2016-05-03

    申请号:US13926836

    申请日:2013-06-25

    Applicant: Google Inc.

    CPC classification number: G06F17/30899 G06F17/2705

    Abstract: A method identifies pairs of first and second command inputs from respective user device sessions for which the first and second operation data are indicative of a first operation failure and a second operation success. The first operation data indicate a first operation performed on data from a first resource property in response to the first command input, and the second operation data indicate a second operation performed on data from a second resource property in response to the second command input. They system determines, from the identified pairs of first and second command inputs, command inputs for which a parsing rule that is associated with the second operation is to be generated.

    EVALUATING SEMANTIC INTERPRETATIONS OF A SEARCH QUERY
    5.
    发明申请
    EVALUATING SEMANTIC INTERPRETATIONS OF A SEARCH QUERY 审中-公开
    评估搜索查询的语义解释

    公开(公告)号:US20160078131A1

    公开(公告)日:2016-03-17

    申请号:US14644803

    申请日:2015-03-11

    Applicant: Google Inc.

    CPC classification number: G06F16/951 G06F16/334

    Abstract: The present disclosure relates to evaluating different semantic interpretations of a search query. One example method includes obtaining a set of search results for a particular search query submitted to a search engine; obtaining a set of semantic interpretations for the particular search query; obtaining, for each semantic interpretation of the set, a canonical search query; generating a modified search query based at least in part on the particular search query and the canonical search query for the semantic interpretation; obtaining a set of search results for the modified search query for the semantic interpretation; and determining, for each semantic interpretation of the set, a degree of similarity between (i) the set of search results of the modified search query for the semantic interpretation, and (ii) the set of search results for the particular search query.

    Abstract translation: 本公开涉及评估搜索查询的不同语义解释。 一个示例性方法包括获得提交给搜索引擎的特定搜索查询的一组搜索结果; 为特定搜索查询获得一组语义解释; 对于集合的每个语义解释获得规范搜索查询; 至少部分地基于用于语义解释的特定搜索查询和规范搜索查询来生成修改的搜索查询; 获取用于语义解释的经修改的搜索查询的一组搜索结果; 以及为所述集合的每个语义解释确定(i)用于所述语义解释的所述经修改的搜索查询的搜索结果集合和(ii)所述特定搜索查询的搜索结果集合之间的相似度。

    Factual query pattern learning
    6.
    发明授权

    公开(公告)号:US09898512B1

    公开(公告)日:2018-02-20

    申请号:US14710794

    申请日:2015-05-13

    Applicant: Google Inc.

    CPC classification number: G06F17/3053 G06F17/301 G06F17/30867 G06F17/30976

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a statement that references a particular attribute of a particular topic, in response to providing the statement, obtaining one or more query patterns that each include one or more query terms that are used in queries submitted to a search system in obtaining a value for the particular attribute of the particular topic, generalizing one or more of the query patterns, and associating the one or more generalized query patterns with one or more other topics that include the particular attribute.

    Factual query pattern learning
    7.
    发明授权
    Factual query pattern learning 有权
    事实查询模式学习

    公开(公告)号:US09037568B1

    公开(公告)日:2015-05-19

    申请号:US13841759

    申请日:2013-03-15

    Applicant: Google Inc.

    CPC classification number: G06F17/3053 G06F17/301 G06F17/30867 G06F17/30976

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a statement that references a particular attribute of a particular topic, in response to providing the statement, obtaining one or more query patterns that each include one or more query terms that are used in queries submitted to a search system in obtaining a value for the particular attribute of the particular topic, generalizing one or more of the query patterns, and associating the one or more generalized query patterns with one or more other topics that include the particular attribute.

    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,用于提供引用特定主题的特定属性的语句,以响应于提供该语句,获得一个或多个查询模式,每个查询模式包括一个或多个 用于在提取给搜索系统的查询中获得用于特定主题的特定属性的值的查询词语,概括一个或多个查询模式,以及将一个或多个通用查询模式与一个或多个其他主题相关联 包括特定属性。

    Question answering to populate knowledge base

    公开(公告)号:US10108700B2

    公开(公告)日:2018-10-23

    申请号:US13842606

    申请日:2013-03-15

    Applicant: GOOGLE INC.

    Abstract: Methods and systems are provided for a question answering. In some implementations, a data element to be updated is identified in a knowledge graph and a query is generated based at least in part on the data element. The query is provided to a query processing engine. Information is received from the query processing engine in response to the query. The knowledge graph is updated based at least in part on the received information.

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