Machine learning enabled evaluation systems and methods

    公开(公告)号:US11610239B2

    公开(公告)日:2023-03-21

    申请号:US15970809

    申请日:2018-05-03

    Abstract: Systems and methods for providing machine-learning enabled user-specific evaluations are disclosed. Implementations include obtaining a first set of evaluation data from a user interface, obtaining a first set of target-descriptive data including target-specific characteristics objectively describing the evaluation targets, and training, with a machine-learning algorithm, a user-specific evaluation profile indicating evaluation patterns relative to the first set of evaluation data and the first set of target-specific characteristics. Implementations include applying the user-specific evaluation profile to a second set of target-descriptive data to predict a user-specific evaluation.

    COLLABORATIVE AI STORYTELLING
    3.
    发明申请

    公开(公告)号:US20200019370A1

    公开(公告)日:2020-01-16

    申请号:US16034310

    申请日:2018-07-12

    Abstract: Implementations of the disclosure describe AI systems that offer an improvisational story telling AI agent that may interact collaboratively with a user. In one implementation, a story telling device may be implemented using i) a natural language understanding (NLU) component to process human language input (e.g., digitized speech or text input); ii) a natural language processing (NLP) component to parse the human language input into a story segment or sequence; iii) a component for storing/recording the story as it is created by collaboration; iv) a component for generating AI-suggested story elements; and v) a natural language generation (NLG) component to transform the AI-generated story segment into natural language that may be presented to the user.

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