Google Inc.

Ruijie He

Bryan Christopher Horling

Maryam Garrett

Wan Fen Nicole Quah

David Kogan

Wangqing Yuan

Wei Chen

Michael Itz

Daniel Kunkle

Some implementations are directed to generating a personal database entry for a user based on free-form natural language input formulated by the user via one or more user interface input devices of a computing device of the user. The generated personal database entry may include one or more terms of the natural language input and descriptive metadata determined based on one or more terms of the natural language input and/or based on contextual features associated with receiving the natural language input. Some implementations are directed to generating, based on one or more personal database entries of a user, output that is responsive to further free-form natural language input of the user. For example, one or more entries that are responsive to further natural language input of the user can be identified based on matching content of those entries to one or more search parameters determined based on the further input.

Generating a personal database entry for a user based on natural language user interface input of the user and generating output based on the entry in response to further natural language user interface input of the user

Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.

Forming chatbot output based on user state

Methods, apparatus, systems, and computer-readable media are provided for interactive assistant modules to safely access and provide restricted content in group contexts. In various implementations, a dialog between a first individual and an interactive assistant module may be determined to be sensorially perceivable by at least a second individual. Restricted content that is to be automatically incorporated into the dialog by the interactive assistant module may be identified. In various implementations, access to the restricted content may be controlled by the first individual. In various implementations, the restricted content may be conditionally incorporated into the dialog in response to a determination that the second individual is authorized to perceive the restricted content.

Conditional disclosure of individual-controlled content in group contexts

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Roxbury Crossing, MA, United States of America

Ruijie He