- 专利标题: EFFICIENT DETERMINATION OF USER INTENT FOR NATURAL LANGUAGE EXPRESSIONS BASED ON MACHINE LEARNING
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申请号: US17005316申请日: 2020-08-28
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公开(公告)号: US20210374353A1公开(公告)日: 2021-12-02
- 发明人: Jianguo Zhang , Kazuma Hashimoto , Chien-Sheng Wu , Wenhao Liu , Richard Socher , Caiming Xiong
- 申请人: salesforce.com, inc.
- 申请人地址: US CA San Francisco
- 专利权人: salesforce.com, inc.
- 当前专利权人: salesforce.com, inc.
- 当前专利权人地址: US CA San Francisco
- 主分类号: G06F40/30
- IPC分类号: G06F40/30 ; G10L15/16
摘要:
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.
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