Google Inc.

Akash Nanavati

Amit Behal

Randolph Gregory Brown

Bharat Kalyanpur

Andrew Huse Helmer

Aniket Ray

Torsten Rohlfing

Methods, systems, and apparatus for generating user interface elements for an entity in response to a search query. The method includes receiving a request that includes the entity and one or more context terms. In response to determining to provide the search results page including knowledge elements, the method identifies knowledge elements for the entity that include facts relating to the entity and identifies content in at least one knowledge element of the knowledge elements for the entity that relates to data identifying the entity and the one or more context terms. The method generates the user interface elements for at least some of the knowledge elements, including generating a user interface element for the knowledge element that includes a change of appearance of the content. The user interface elements are provided in the search results page in response to the request.

Contextualizing knowledge panels

Methods, systems, and apparatus for receiving a request that includes an entity identifier of an entity referenced by a search query and one or more context terms that are included in the search query; determining that the one or more context terms describe a relationship connecting the entity referenced by the search query with a plurality of other entities; and in response to determining that the one or more context terms describe the relationship, generating user interface elements that provide facts related to the entity referenced. Generating the user interface may include identifying relationship knowledge elements that include facts relating to at least some of the other entities connected to the entity by the relationship, and identifying one or more additional knowledge for the entity referenced by the search query. The ranking the relationship knowledge elements may be highest ranked knowledge elements in the user interface elements.

Systems and methods identify and provide interesting facts about an entity. An example method includes selecting documents associated with at least one unique fact trigger, the documents being from a document repository. The method also includes generating entity-sentence pairs from the documents and, for a first entity of the entities represented by the entity-sentence pairs, clustering the entity-sentence pairs for the first entity using salient terms occurring in the sentence. The method also includes determining a representative sentence for each of the clusters and providing at least one of the representative sentences in response to a query that identifies the first entity. Another example method includes determining that a query relates to an entity in a knowledge base, determining that the entity has an associated unique fact list, and providing at least one of the unique facts in the list in response to the query.

Surfacing unique facts for entities

In an aspect, a method includes receiving lists of entities, each list (i) having an associated score, (ii) being associated with a respective context fact, and (iii) ranking a subset of the entities, and for each of the lists of entities, generating, for each entity on the list, a data structure that references (i) the entity, (ii) the context fact associated with the list, (iii) the rank of the entity for the context fact, and (iv) the score for the list. The method can also include receiving data identifying a particular entity, selecting a particular data structure that references the particular entity, and providing, for output, data indicating (i) the context fact associated with the particular data structure that references the particular entity, and (ii) the rank of the entity for the context fact associated with the particular data structure that references the particular entity.

Providing context facts

Methods, systems, and apparatus for receiving a request that includes an entity identifier of an entity that is referenced by a search query submitted by a user and one or more context terms that are referenced by the search query; identifying a plurality of knowledge elements that are related to the entity; identifying one or more context terms that are associated with the entity that is referenced by the search query; assigning, by one or more computers, rank scores to the plurality of knowledge elements, based at least on identifying the one or more context terms that are associated with the entity that is referenced by the search query; selecting one or more of the knowledge elements from among the knowledge elements based at least on the rank scores assigned to the knowledge elements; and providing, in response to the request, information associated with the entity and the one or more selected knowledge elements.

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Mountain View, CA, United States of America

Akash Nanavati