PRIMITIVE-BASED QUERY GENERATION FROM NATURAL LANGUAGE QUERIES

    公开(公告)号:US20220121656A1

    公开(公告)日:2022-04-21

    申请号:US17072935

    申请日:2020-10-16

    Abstract: Methods, systems, and devices supporting primitive-based query generation are described. A database system may receive a natural language query associated with a subset of data sets stored at the database system, determine a set of tokens included in the natural language query, and label one or more tokens of the set of tokens with one or more primitives from a set of supported primitives associated with the subset of data sets. The database system may determine a set of higher order concepts corresponding to query operations, query conditions, or both based on the one or more labeled tokens. The database system may train a neural network to learn a grammatical structure of the natural language query and generate a database query for querying the database system based on the one or more labeled tokens, the set of higher order concepts, and the neural network.

    Dashboard execution engine
    3.
    发明授权

    公开(公告)号:US10360136B2

    公开(公告)日:2019-07-23

    申请号:US15603111

    申请日:2017-05-23

    Abstract: A user system includes a user interface, a processor, and one or more stored sequences of instructions. The one or more stored sequences of instructions, when executed by the processor, cause the processor to display a script field within an editor dashboard, of a runtime environment, displayed on the user interface, the editor dashboard configured to define an interactive dashboard of the runtime environment, identify a script entry input into the script field, parse the script entry to identify an operation to be performed within the interactive dashboard in response to a trigger event, and associate the operation with the interactive dashboard, so that the operation will be performed within the interactive dashboard in response to the trigger event based on the association.

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