公开(公告)号：US20220310084A1

公开(公告)日：2022-09-29

申请号：US17211392

申请日：2021-03-24

Applicant: ADOBE INC.

Inventor： OLIVER BRDICZKA ,  Kyoung Tak Kim ,  Charat Maheshwari

IPC: G10L15/22 ,  G10L15/18 ,  G10L15/06 ,  G06F16/242 ,  G06F16/2453 ,  G06F16/248

Abstract: The present disclosure describes systems and methods for extensible search, content, and dialog management. Embodiments of the present disclosure provide a dialog system with a trained intent recognition model (e.g., a deep learning model) to receive and understand a natural language query from a user. In cases where intent is not identified for a received query, the dialog system generates one or more candidate responses that may be refined (e.g., using human-in-the-loop curation) to generate a response. The intent recognition model may be updated (e.g., retrained) the accordingly. Upon receiving a subsequent query with similar intent, the dialog system may identify the intent using the updated intent recognition model.