Google Inc.

Twitter, Inc.

Daniel Loreto

Jeffrey C Reynar

Andrew William Hogue

Vinicius J Fortuna

Andriy Bihun

Ankur Bhargava

Elena Erbiceanu

Francesco G Callari

Krishna Gade

Yu-shuang Li

Julian M Marinus

David Petrou

Nikola Jevtic

Leonardo A Laroco, Jr

Chiu-Ki Chan

Engin Cinar Sahin

John R Provine

Anthony Julian Aiuto

Kevin Lerman

Antonella Pavese

John Alexander Komoroske

Daniel N Crow

A system, method, and computer-readable medium for identifying relevant content from a messaging platform. The method can include: identifying a context account; identifying a set of initial accounts of the messaging platform; selecting a set of relevant accounts from among the set of initial accounts; selecting a set of messages authored by the set of relevant accounts based at least on a recency of each of the set of messages; and providing the set of messages in response to a request.

Network-based content discovery using messages of a messaging platform

Methods, systems, and apparatus, including computer programs stored on computer storage media, for accessing a search interface from a structured presentation. One aspect can be embodied in machine-implemented methods that include the actions of displaying a structured presentation on a display device, receiving data characterizing a user interaction with the displayed structured presentation, the data including a specification of a first instance and a first attribute of the structured presentation, and displaying a formerly concealed search interface on the display device in response to receiving the data.

Accessing a search interface in a structured presentation

Methods, systems, and apparatus, including computer programs stored on computer storage media, for populating a structured presentation with new values. One aspect can be embodied in machine-implemented methods that include the actions of obtaining a plurality of instances and a plurality of attributes; for each instance: identifying one or more documents from an unstructured document collection that are relevant to the instance, where each of the one or more documents include at least a value for an attribute in the plurality of attributes; and establishing a subset of the one or more values as characterizing the instance; and adding each instance, the respective attributes, and the respective subset of values to a structured data collection.

Populating a structured presentation with new values

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for information retrieval. In one aspect, a method includes receiving a fact query; determining an expected type of answer to the fact query; identifying search results responsive to the fact query; identifying phrases from the resources corresponding to the search results that correspond to a form of the expected type; determining a score for each of the identified phrases; and presenting an answer to the fact query using the scores.

Returning factual answers in response to queries

Methods, systems, and apparatus, including computer programs stored on computer storage media, for retrieval and display of information from an electronic document collection. One aspect can be embodied in machine-implemented methods that include the actions of receiving description data describing a preexisting structured presentation, comparing characteristics of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new attribute that is relevant to the preexisting structured presentation, adding an identifier of the new attribute to the preexisting structured presentation to form an expanded structured presentation, and outputting instructions for presenting the expanded structured presentation.

Adding new attributes to a structured presentation

Methods, systems, and apparatus, including computer programs stored on computer storage media, for retrieval and display of information from an electronic document collection. In one aspect, a machine-implemented method includes the actions of receiving description data describing a preexisting structured presentation, comparing characteristics of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new instance that is relevant to the preexisting structured presentation, adding an identifier of the new instance to the preexisting structured presentation to form an expanded structured presentation, and outputting instructions for presenting the expanded structured presentation.

Adding new instances to a structured presentation

Methods, systems, and apparatus, including computer programs stored on computer storage media, for populating a structured presentation with new values. One aspect can be embodied in machine-implemented methods that include the actions of receiving description data describing a preexisting structured presentation, comparing characteristics of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new value that is relevant to the preexisting structured presentation, adding the new value to the preexisting structured presentation to form a new structured presentation, and outputting instructions for visually presenting the new structured presentation.

A corpus contains information including text from books and metadata about the books. The book texts mention entities of various types, such as location, date, event, and person entities. An entity importance engine analyzes the information in the corpus to identify the entities mentioned therein, and ranks the entities using query-independent importance scores. The importance scores can be based in part on the contexts in which the entities are mentioned by the books. A presentation engine enables searching of the corpus to identify books satisfying a search query. The presentation engine presents information about a designated book. Entities mentioned in the book are presented in a style selected to enhance comprehension and utility. For example, location entities can be presented on a map with markers showing the locations of the entities. The number of entities presented are limited and ordered based on the query-independent importance scores.

Growing community of inventors

New York, NY, United States of America

Daniel Loreto