Meta Platforms Technologies, LLC

Meta Platforms, Inc.

Zhiguang Wang

Xiaohu Liu

Paul Anthony Crook

Rajen Subba

Kai Jun Weng

Seungwhan Moon

Shivani Poddar

Krishna Mittal

Shubham Khandelwal

Eun Joon Cho

Xin Ming Fan

In one embodiment, a method includes maintaining contextual information from a first dialog session, wherein the contextual information comprises identifiers of entities and slots, receiving a user request during the first dialog session, determining a context carryover is required for an agent to execute a task associated with the user request, determining a first subset of the identifiers of the entities and a second subset of the slots of the contextual information from the first dialog session are shareable with the agent based on the agent and first resources of the identifiers of the entities and second resources of the slots, and executing the task by the agent based on the first subset of the identifiers of the entities and the second subset of the slots of the shareable contextual information.

Context carryover across tasks for assistant systems

In one embodiment, a method includes maintaining contextual information from a first user request associated with a first task by a context engine, wherein the first task is associated with a first agent, receiving a second user request associated with a second task from a client system, wherein the second user request comprises an ambiguous mention and the second task is associated with a second agent, determining a context carryover is required for the second agent to execute the second task, determining the ambiguous mention corresponds to one or more data items associated with the contextual information from the first user request, and providing the one or more data items to the second agent for execution of the second task.

In one embodiment, a method includes receiving a user request from a client system associated with a user, determining that the user request corresponds to a first suspended task, retrieving a first dialog state of the first suspended task from a dialog history associated with the user, generating a summary of the first suspended task based on the first dialog state using a natural-language generating (NLG) module, and sending instructions to the client system for providing the summary of the first suspended task to the user.

Conversation summarization during user-control task execution for assistant systems

In one embodiment, a method includes receiving a first user request at a client system to suspend a first task being executed by an assistant system operating on the client system, suspending the execution of the first task responsive to the first user request, receiving a second user request at the client system, determining that the second user request is a request to resume the suspended first task based on user interactions with the assistant system with respect to one or more entities associated with the first task, and presenting a prompt to resume the first task at the client system.

User controlled task execution with task persistence for assistant systems

In one embodiment, a method includes receiving a first user request to execute a first task comprising one or more sub-tasks from a client system associated with a user, receiving a second user request to suspend the first task from the client system, storing a dialog state for the first task in response to the second user request, wherein the dialog state comprises results of executed sub-tasks and a status indicating the first task is suspended, receiving a third user request to resume the first task, accessing the dialog state for the first task, and providing a prompt to resume the first task at the client system.

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Bellevue, WA, United States of America

Zhiguang Wang