Patents by Inventor Pooja Sethi

Pooja Sethi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Continuous learning for natural-language understanding models for assistant systems
    Patent number: 11861315
    Abstract: 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 repre
    Type: Grant
    Filed: June 18, 2021
    Date of Patent: January 2, 2024
    Assignee: Meta Platforms, Inc.
    Inventors: Pooja Sethi, Denis Savenkov, Yue Liu, Alexander Kolmykov-Zotov, Ahmed Aly
  • Continuous Learning for Natural-Language Understanding Models for Assistant Systems
    Publication number: 20220374605
    Abstract: 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 repre
    Type: Application
    Filed: June 18, 2021
    Publication date: November 24, 2022
    Inventors: Pooja Sethi, Denis Savenkov, Yue Liu, Alexander Kolmykov-Zotov, Ahmed Aly