Continuous learning for natural-language understanding models for assistant systems

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United States of America Patent

PATENT NO 11861315
APP PUB NO 20220374605A1
SERIAL NO

17351501

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Abstract

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In one embodiment, a method includes receiving a user request to automatically debug a natural-language understanding (NLU) model, accessing a plurality of predicted semantic representations generated by the NLU model, wherein the plurality of predicted semantic representations are associated with a plurality of dialog sessions, respectively, wherein each dialog session is between a user and an assistant xbot associated with the NLU model, generating a plurality of expected semantic representations associated with the plurality of dialog sessions based on an auto-correction model, wherein the auto-correction model is learned from dialog training samples generated based on active learning, identifying incorrect semantic representations of the predicted semantic representations based on a comparison between the predicted semantic representations and the expected semantic representations, and automatically correcting the incorrect semantic representations by replacing them with respective expected semantic representations generated by the auto-correction model.

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Patent Owner(s)

  • META PLATFORMS, INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Aly, Ahmed Kenmore, US 14 262
Kolmykov-Zotov, Alexander Sammamish, US 13 93
Liu, Yue Belmont, US 361 3591
Savenkov, Denis Redmond, US 4 66
Sethi, Pooja Kent, US 1 4

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