公开(公告)号：WO2017024108A1

公开(公告)日：2017-02-09

申请号：PCT/US2016/045484

申请日：2016-08-04

Applicant: GOOGLE INC.

Inventor： SHMIEL, Tomer ,  KEYSAR, Dvir ,  COHEN, Vered

IPC: G06F17/30

CPC classification number: G06F17/30598 ,  G06F17/30477 ,  G06F17/30525 ,  G06F17/30958 ,  G06F17/3097

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。

公开(公告)号：WO2014197227A1

公开(公告)日：2014-12-11

申请号：PCT/US2014/039354

申请日：2014-05-23

Applicant: GOOGLE INC.

Inventor： SHMIEL, Tomer ,  KEYSAR, Dvir ,  EREZ, Yonatan

IPC: G06F17/30 ,  G06F17/27

CPC classification number: G06F17/30705 ,  G06F17/248 ,  G06F17/2705 ,  G06F17/2745 ,  G06F17/30011 ,  G06F17/30654 ,  G06F17/30675

Abstract: Systems and methods provide natural language search results to clearintent queries. To provide the natural language search results, a system may parse a document from an authoritative source to generate at least one headingtext 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: 系统和方法提供自然语言搜索结果以清除任意查询。 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，该文本出现在文档中的标题下。 该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。

公开(公告)号：WO2014150738A1

公开(公告)日：2014-09-25

申请号：PCT/US2014/024097

申请日：2014-03-12

Applicant: GOOGLE INC.

Inventor： KEYSAR, Dvir ,  SHMIEL, Tomer

IPC: G06F17/30

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 Dart on the entity result.

Abstract translation: 方法，系统和计算机可读介质被提供用于集体和解。 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。 至少在Dart上提供了对实体结果的回答。