公开(公告)号：US20210026846A1

公开(公告)日：2021-01-28

申请号：US16949076

申请日：2020-10-13

Applicant: GOOGLE LLC

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：US09984684B1

公开(公告)日：2018-05-29

申请号：US13926844

申请日：2013-06-25

Applicant: Google LLC

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

IPC: G06F17/30 ,  G10L15/18 ,  G06F17/27

CPC classification number: G10L15/1822 ,  G06F17/271 ,  G06F17/30424 ,  G06F17/30654 ,  G06F17/30864 ,  G10L15/26

Abstract: A language processing system collects similar queries and respective responses and aggregated by responses. Incorrect responses are determined and filtered by the aggregation. The remaining responses are then used to query a high precision system for attributes of entities specified by the queries. The attribute type is determined from the responses of the high precision system, and corresponding parse rules are generated. The parse rules are then associated with an operation that yields a response that specifies an attribute of the attribute type.