- 专利标题: SYSTEMS AND METHODS FOR TRAINING NATURAL LANGUAGE PROCESSING MODELS IN A CONTACT CENTER
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申请号: US17705484申请日: 2022-03-28
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公开(公告)号: US20220319496A1公开(公告)日: 2022-10-06
- 发明人: Jonathan Rosenberg , Priyanka Balakumar
- 申请人: Five9, Inc.
- 申请人地址: US CA San Ramon
- 专利权人: Five9, Inc.
- 当前专利权人: Five9, Inc.
- 当前专利权人地址: US CA San Ramon
- 主分类号: G10L15/06
- IPC分类号: G10L15/06 ; G10L15/30 ; G10L13/02
摘要:
Systems and methods are provided for training natural language processing (NLP) models in a contact center. The systems and methods provided may render the process of training an NLP model faster, easier to perform, and more accessible to non-experts. In embodiments of the present disclosure, a method for training an NLP model includes a first step of initializing an NLP model with an intent and one or more seed phrases. The next step may be to receive a customer interaction. Next, a matched utterance can be generated based on the customer interaction and the NLP model. Then, a suggested training phrase may be generated based on the matched utterance. The suggested training phrase may be confirmed. Thereafter, the NLP model can be updated with the confirmed training phrase.
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