Google Inc.

Deborah Cohen

Yossi Matias

Vladimir Vuskovic

David Kogan

Richard D Borovoy

Michael Fink

Idan Szpektor

Eran Ofek

Asaf Revach

Shimon Or Salant

Andrew Callahan

Andrew Richardson

Yaniv Leviathan

Eyal Segalis

Tomer Amiaz

Asaf Aharoni

Sasha Goldshtein

Gal Elidan

Jonathan Berant

Implementations are directed to providing a voice bot development platform that enables a third-party developer to train a voice bot based on training instance(s). The training instance(s) can each include training input and training output. The training input can include a portion of a corresponding conversation and a prior context of the corresponding conversation. The training output can include a corresponding ground truth response to the portion of the corresponding conversation. Subsequent to training, the voice bot can be deployed for conducting conversations on behalf of a third-party. In some implementations, the voice bot is further trained based on a corresponding feature emphasis input that attentions the voice bot to a particular feature of the portion of the corresponding conversation. In some additional or alternative implementations, the voice bot is further trained to interact with third-party system(s) via remote procedure calls (RPCs).

Example-based voice bot development techniques

Generating expanded responses that guide continuance of a human-to computer dialog that is facilitated by a client device and that is between at least one user and an automated assistant. The expanded responses are generated by the automated assistant in response to user interface input provided by the user via the client device, and are caused to be rendered to the user via the client device, as a response, by the automated assistant, to the user interface input of the user. An expanded response is generated based on at least one entity of interest determined based on the user interface input, and is generated to incorporate content related to one or more additional entities that are related to the entity of interest, but that are not explicitly referenced by the user interface input.

Generating a composite response to natural language input using a trained generative model and based on responsive content from disparate content agents

Selectively generating expanded responses that guide continuance of a human-to-computer dialog

Growing community of inventors

Tel Aviv, Israel

Deborah Cohen