QUESTION ANSWERING USING ENTITY REFERENCES IN UNSTRUCTURED DATA
    1.
    发明申请
    QUESTION ANSWERING USING ENTITY REFERENCES IN UNSTRUCTURED DATA 有权
    使用实际参考文献在非结构化数据中的问题

    公开(公告)号:US20140280114A1

    公开(公告)日:2014-09-18

    申请号:US13842591

    申请日:2013-03-15

    Applicant: Google Inc.

    CPC classification number: G06F17/30867 G06F17/30731 G06F17/30864

    Abstract: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.

    Abstract translation: 提供方法,系统和计算机可读介质用于集体和解。 在一些实现中,接收到查询,其中所述查询至少部分地与实体的类型相关联。 至少部分地基于查询生成一个或多个搜索结果。 检索与所述一个或多个搜索结果的至少一个搜索结果相关联的先前生成的数据,所述数据包括与所述实体类型相对应的所述至少一个搜索结果中的一个或多个实体引用。 一个或多个实体引用被排序,并且至少部分地基于排名从一个或多个实体引用中选择实体结果。 至少部分地基于实体结果提供对查询的答案。

    Question answering using entity references in unstructured data
    2.
    发明授权
    Question answering using entity references in unstructured data 有权
    在非结构化数据中使用实体引用的问题回答

    公开(公告)号:US09477759B2

    公开(公告)日:2016-10-25

    申请号:US13842591

    申请日:2013-03-15

    Applicant: Google Inc.

    CPC classification number: G06F17/30867 G06F17/30731 G06F17/30864

    Abstract: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.

    Abstract translation: 提供方法,系统和计算机可读介质用于集体和解。 在一些实现中,接收到查询,其中所述查询至少部分地与实体的类型相关联。 至少部分地基于查询生成一个或多个搜索结果。 检索与所述一个或多个搜索结果的至少一个搜索结果相关联的先前生成的数据,所述数据包括与所述实体类型相对应的所述至少一个搜索结果中的一个或多个实体引用。 一个或多个实体引用被排序,并且至少部分地基于排名从一个或多个实体引用中选择实体结果。 至少部分地基于实体结果提供对查询的答案。

    PRODUCT COMPARISONS FROM IN-STORE IMAGE AND VIDEO CAPTURES
    3.
    发明申请
    PRODUCT COMPARISONS FROM IN-STORE IMAGE AND VIDEO CAPTURES 审中-公开
    存储图像和视频捕获的产品对比

    公开(公告)号:US20140152847A1

    公开(公告)日:2014-06-05

    申请号:US13692994

    申请日:2012-12-03

    Applicant: GOOGLE INC.

    CPC classification number: G06Q30/0629

    Abstract: Systems and methods are described herein for comparing products in a marketplace. An image or video of the products may be captured using a camera associated with a mobile device. User input may be received to select two or more products within the image. Machine vision techniques may be applied to specifically identify the selected products. Product features associated with each of the identified products may be retrieved and formatted into a comparison of product features. The comparison may be presented to the user.

    Abstract translation: 这里描述了用于比较市场中的产品的系统和方法。 可以使用与移动设备相关联的摄像机来捕获产品的图像或视频。 可以接收用户输入以选择图像内的两个或更多个产品。 可以应用机器视觉技术来具体识别所选择的产品。 与每个识别的产品相关联的产品特征可以被检索和格式化成产品特征的比较。 该比较可以呈现给用户。

    Question answering using entity references in unstructured data

    公开(公告)号:US10339190B2

    公开(公告)日:2019-07-02

    申请号:US15251989

    申请日:2016-08-30

    Applicant: Google Inc.

    Abstract: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.

    AUTOMATIC QUERY PATTERN GENERATION
    5.
    发明申请
    AUTOMATIC QUERY PATTERN GENERATION 审中-公开
    自动查询模式生成

    公开(公告)号:US20170039267A1

    公开(公告)日:2017-02-09

    申请号:US15227456

    申请日:2016-08-03

    Applicant: Google Inc.

    Abstract: One general aspect is described that includes a computer implemented method for generating a pattern graph. The method may include accessing data pertaining to a corpus of web documents. The data may include a plurality of query-document pairs. The method may also include identifying at least one query pattern in the plurality of query-document pairs and the query pattern may be associated with a portion of web documents in the corpus. The method may also include identifying a plurality of sub-phrases in the at least one query pattern, determining, in the corpus of web documents, a plurality of other query patterns that include at least one of the plurality of sub-phrases, and assigning an classifier to the at least one query pattern and each of the plurality of other query patterns that include at least one of the sub-phrases.

    Abstract translation: 描述了一个总体方面,其包括用于生成模式图的计算机实现的方法。 该方法可以包括访问与web文档的语料库有关的数据。 数据可以包括多个查询文档对。 该方法还可以包括识别多个查询文档对中的至少一个查询模式,并且查询模式可以与语料库中的一部分web文档相关联。 该方法还可以包括识别所述至少一个查询模式中的多个子短语,在web文档的语料库中确定包括多个子短语中的至少一个的多个其他查询模式,以及分配 所述至少一个查询模式的分类器和包括所述子短语中的至少一个的所述多个其他查询模式中的每一个。

    Generating related questions for search queries

    公开(公告)号:US09679027B1

    公开(公告)日:2017-06-13

    申请号:US14968598

    申请日:2015-12-14

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying related questions for a search query is described. One of the methods includes receiving a search query from a user device; obtaining a plurality of search results for the search query provided by a search engine, wherein each of the search results identifies a respective search result resource; determining one or more respective topic sets for each search result resource, wherein the topic sets for the search result resource are selected from previously submitted search queries that have resulted in users selecting search results identifying the search result resource; selecting related questions from a question database using the topic sets; and transmitting data identifying the related questions to the user device as part of a response to the search query.

    QUESTION ANSWERING USING ENTITY REFERENCES IN UNSTRUCTURED DATA
    7.
    发明申请
    QUESTION ANSWERING USING ENTITY REFERENCES IN UNSTRUCTURED DATA 审中-公开
    使用实际参考文献在非结构化数据中的问题

    公开(公告)号:US20160371385A1

    公开(公告)日:2016-12-22

    申请号:US15251989

    申请日:2016-08-30

    Applicant: Google Inc.

    CPC classification number: G06F16/9535 G06F16/36 G06F16/951

    Abstract: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.

    Abstract translation: 提供方法,系统和计算机可读介质用于集体和解。 在一些实现中,接收到查询,其中所述查询至少部分地与实体的类型相关联。 至少部分地基于查询生成一个或多个搜索结果。 检索与所述一个或多个搜索结果的至少一个搜索结果相关联的先前生成的数据,所述数据包括与所述实体类型相对应的所述至少一个搜索结果中的一个或多个实体引用。 一个或多个实体引用被排序,并且至少部分地基于排名从一个或多个实体引用中选择实体结果。 至少部分地基于实体结果提供对查询的答案。

    Natural language search results for intent queries
    8.
    发明授权
    Natural language search results for intent queries 有权
    自然语言搜索结果的意图查询

    公开(公告)号:US09448992B2

    公开(公告)日:2016-09-20

    申请号:US13910031

    申请日:2013-06-04

    Applicant: GOOGLE INC.

    Abstract: Systems and methods provide natural language search results to clear-intent queries. To provide the natural language search results, a system may parse a document from an authoritative source to generate at least one heading-text pair, the text appearing under the heading in the document. The system may assign a topic and a question category to the heading-text pair and store the heading-text pair in a data store keyed by the topic and the question category. The system determines that a query corresponds to the topic and the question category, and provides the heading-text pair as a natural language search result for the query. In some implementations, the text portion of the heading-text pair may be a paragraph or a list of items and the natural language search result may be provided with conventional snippet-based search results in response to the query.

    Abstract translation: 系统和方法为清晰意图查询提供自然语言搜索结果。 为了提供自然语言搜索结果,系统可以从权威来源解析文档以生成至少一个标题文本对,文本出现在文档中的标题下。 系统可以向标题文本对分配主题和问题类别,并将标题文本对存储在由主题和问题类别键入的数据存储中。 系统确定查询对应于主题和问题类别,并将标题文本对作为查询的自然语言搜索结果。 在一些实现中,标题文本对的文本部分可以是项目的段落或列表,并且响应于该查询,可以向自然语言搜索结果提供常规的基于片段的搜索结果。

    NATURAL LANGUAGE SEARCH RESULTS FOR INTENT QUERIES
    9.
    发明申请
    NATURAL LANGUAGE SEARCH RESULTS FOR INTENT QUERIES 有权
    自然语言搜索结果的INTETIC QUERIES

    公开(公告)号:US20140358889A1

    公开(公告)日:2014-12-04

    申请号:US13910031

    申请日:2013-06-04

    Applicant: GOOGLE INC.

    Abstract: Systems and methods provide natural language search results to clear-intent queries. To provide the natural language search results, a system may parse a document from an authoritative source to generate at least one heading-text pair, the text appearing under the heading in the document. The system may assign a topic and a question category to the heading-text pair and store the heading-text pair in a data store keyed by the topic and the question category. The system determines that a query corresponds to the topic and the question category, and provides the heading-text pair as a natural language search result for the query. In some implementations, the text portion of the heading-text pair may be a paragraph or a list of items and the natural language search result may be provided with conventional snippet-based search results in response to the query.

    Abstract translation: 系统和方法为清晰意图查询提供自然语言搜索结果。 为了提供自然语言搜索结果,系统可以从权威来源解析文档以生成至少一个标题文本对,文本出现在文档中的标题下。 系统可以向标题文本对分配主题和问题类别,并将标题文本对存储在由主题和问题类别键入的数据存储中。 系统确定查询对应于主题和问题类别,并将标题文本对作为查询的自然语言搜索结果。 在一些实现中,标题文本对的文本部分可以是项目的段落或列表,并且响应于该查询,可以向自然语言搜索结果提供常规的基于片段的搜索结果。

    Systems and methods of automatically estimating restaurant wait times using wearable devices

    公开(公告)号:US10482551B2

    公开(公告)日:2019-11-19

    申请号:US14822318

    申请日:2015-08-10

    Applicant: Google Inc.

    Abstract: Computer-implemented methods and systems of estimating wait times and food serving times at a restaurant using wearable devices include identifying from portions of sensor data that a user is seated at a restaurant table at an estimated sitting time. In addition, portions of sensor data can be used to identify that a user has started eating at a given restaurant. Time-correlated location data can be used to determine an estimated arrival time of the user at a current location. An estimated wait time can be determined from the difference between the estimated sitting time and the estimated arrival time. An estimated food serving time can be determined from the difference between estimated eating time and arrival time or eating time and sitting time. Data indicative of the estimated times can be communicated to other computing devices, evaluated across multiple users, and/or used to develop relevant notifications for surfacing to other users.

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