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.

Inventor： Jakob D. Uszkoreit ,  John Blitzer ,  Engin Cinar Sahin ,  Rahul Gupta ,  Dekang Lin ,  Fernando Pereira ,  Ciprian I. Chelba

IPC: G06F17/00 ,  G06F17/30

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。

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.

Inventor： Jakob D. Uszkoreit ,  John Blitzer ,  Engin Cinar Sahin ,  Rahul Gupta ,  Dekang Lin ,  Fernando Pereira ,  Ciprian I. Chelba

IPC: G06F17/00 ,  G06F17/30

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.

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.

Inventor： Amarnag Subramanya ,  Fernando Pereira ,  Ni Lao ,  John Blitzer ,  Rahul Gupta

IPC: G06F16/245

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.

公开(公告)号：US09672251B1

公开(公告)日：2017-06-06

申请号：US14499615

申请日：2014-09-29

Applicant: Google Inc.

Inventor： Steven Euijong Whang ,  Rahul Gupta ,  Alon Yitzchak Halevy ,  Mohamed Yahya

IPC: G06F17/30

CPC classification number: G06F17/30528 ,  G06F17/30616 ,  G06N5/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for extracting facts from a collection of documents. One of the methods includes obtaining a plurality of seed facts; generating a plurality of patterns from the seed facts, wherein each of the plurality of patterns is a dependency pattern generated from a dependency parse; applying the patterns to documents in a collection of documents to extract a plurality of candidate additional facts from the collection of documents; and selecting one or more additional facts from the plurality of candidate additional facts.

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.

Inventor： Rahul Gupta ,  Shaohua Sun ,  John Blitzer ,  Dekang Lin ,  Evgeniy Gabrilovich

IPC: G06F17/30

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。

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.

Inventor： Rahul Gupta ,  Shaohua Sun ,  John Blitzer ,  Dekang Lin ,  Evgeniy Gabrilovich

IPC: G06F17/30 ,  G06N5/02

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.

公开(公告)号：US09864795B1

公开(公告)日：2018-01-09

申请号：US14526116

申请日：2014-10-28

Applicant: Google Inc.

Inventor： Alon Yitzchak Halevy ,  Fei Wu ,  Steven Euijong Whang ,  Rahul Gupta

IPC: G06F17/30

CPC classification number: G06F17/30598 ,  G06F17/30011 ,  G06F17/30864

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an ontology of entity attributes. One of the methods includes extracting a plurality of attributes based upon a plurality of queries; and constructing an ontology based upon the plurality of attributes and a plurality of entity classes.