Invention Grant
- Patent Title: Efficient determination of user intent for natural language expressions based on machine learning
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Application No.: US17005316Application Date: 2020-08-28
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Publication No.: US11544470B2Publication Date: 2023-01-03
- Inventor: Jianguo Zhang , Kazuma Hashimoto , Chien-Sheng Wu , Wenhao Liu , Richard Socher , Caiming Xiong
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: Fenwick & West LLP
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06F40/30 ; G10L15/16

Abstract:
An online system allows user interactions using natural language expressions. The online system uses a machine learning based model to infer an intent represented by a user expression. The machine learning based model takes as input a user expression and an example expression to compute a score indicating whether the user expression matches the example expression. Based on the scores, the intent inference module determines a most applicable intent for the expression. The online system determines a confidence threshold such that user expressions indicating a high confidence are assigned the most applicable intent and user expressions indicating a low confidence are assigned an out-of-scope intent. The online system encodes the example expressions using the machine learning based model. The online system may compare an encoded user expression with encoded example expressions to identify a subset of example expressions used to determine the most applicable intent.
Public/Granted literature
- US20210374353A1 EFFICIENT DETERMINATION OF USER INTENT FOR NATURAL LANGUAGE EXPRESSIONS BASED ON MACHINE LEARNING Public/Granted day:2021-12-02
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