Contextual auto-completion for assistant systems

In one embodiment, a method includes receiving a user input including a partial request from a client system of a first user, analyzing the user input to generate one or more candidate hypotheses based on a personalized language model where each of the candidate hypotheses includes one or more of an...

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Bibliographische Detailangaben
Hauptverfasser: Dumoulin, Benoit F, Hanson, Michael Robert, Peng, Fuchun, Zhu, Jiedan, Agsen, Mohsen, Subba, Rajen, Liu, Xiaohu
Format: Patent
Sprache:eng
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Zusammenfassung:In one embodiment, a method includes receiving a user input including a partial request from a client system of a first user, analyzing the user input to generate one or more candidate hypotheses based on a personalized language model where each of the candidate hypotheses includes one or more of an intent-suggestion or a slot-suggestion, sending instructions for presenting one or more suggested auto-completions corresponding to one or more of the candidate hypotheses, respectively, to the client system, where each suggested auto-completion comprises the partial request and the corresponding candidate hypothesis, receiving an indication of a selection by the first user of a first suggested auto-completion of the suggested auto-completions from the client system, and executing one or more tasks based on the first suggested auto-completion selected by the first user via one or more agents.