Invention Application
- Patent Title: METHODS FOR NATURAL LANGUAGE MODEL TRAINING IN NATURAL LANGUAGE UNDERSTANDING (NLU) SYSTEMS
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Application No.: US18746439Application Date: 2024-06-18
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Publication No.: US20250022455A1Publication Date: 2025-01-16
- Inventor: Jeffry Copps Robert Jose , Mithun Umesh
- Applicant: Adeia Guides Inc.
- Applicant Address: US CA San Jose
- Assignee: Adeia Guides Inc.
- Current Assignee: Adeia Guides Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G10L15/06
- IPC: G10L15/06 ; G06F16/23 ; G06F16/9032 ; G10L15/14 ; G10L15/16 ; G10L15/18 ; G10L15/26

Abstract:
Systems and methods for determining to perform an action of a query using a trained natural language model of a natural language understanding (NLU) system are disclosed herein. A text string corresponding to a prescribed action includes at least a content entity is received. A determination is made as to whether the text string corresponds to an audio input of a first group. In response to determining the text string corresponds to an audio input of a first group, a determination is made as to whether the text string includes an obsequious expression. In response to determining the text string corresponds to an audio input of a first group and in response to determining the text string includes an obsequious expression, a determination is made to perform the prescribed action. In response to determining the text string corresponds to an audio input of a first group and in response to determining the text string does not include the obsequious expression, a determination is made to not perform the prescribed action.
Information query