METHODS FOR NATURAL LANGUAGE MODEL TRAINING IN NATURAL LANGUAGE UNDERSTANDING (NLU) SYSTEMS

    公开(公告)号:US20250022455A1

    公开(公告)日:2025-01-16

    申请号:US18746439

    申请日:2024-06-18

    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.

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