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Fusion 5.9
    Fusion 5.9

    NLP Annotator Query Stage

    Table of Contents

    Like the NLP Annotator index stage, the NLP Annotator query stage can be included in an query pipeline to perform Natural Language Processing tasks.

    Example of how to use NLP Annotator Query stage:

    1. Add the NLP Annotator query stage to the query pipeline.

    2. Configure the query pipeline stage:

      1. Specify the model to use (fill the box with model id in the blob store).

      2. Specify the input parameter, label pattern and target parameter fields:

        query pipeline configuration

        • input parameter field: the Fusion query parameter text, normally q since we want to annotate the raw query string to understand the intent.

        • label pattern: regex pattern that matches the NER/POS labels: for example, PER. will match extracted name entities with label PERSON, while NN. will match tagged nouns.

        • target parameter field: the outcome extraction/tagging, and.

          For the query stage, the result is set to be put in a new query parameter field: NLP annotator query result

    Configuration

    When entering configuration values in the UI, use unescaped characters, such as \t for the tab character. When entering configuration values in the API, use escaped characters, such as \\t for the tab character.

    Annotate a query using NLP

    skip - boolean

    Set to true to skip this stage.

    Default: false

    label - string

    A unique label for this stage.

    <= 255 characters

    condition - string

    Define a conditional script that must result in true or false. This can be used to determine if the stage should process or not.

    annotatorType - stringrequired

    Default: sparknlp

    Allowed values: sparknlpopennlp

    sparknlpNERModel - string

    If Spark NLP annotator is used, specify the blobstore location of the NER model

    >= 1 characters

    sparknlpPOSModel - string

    If Spark NLP annotator is used, specify the blobstore location of the POS model

    >= 1 characters

    failOnError - boolean

    Flag to indicate if this stage should throw an exception if an error occurs while generating a prediction for a document.

    Default: false

    inputParam - string

    Name of the request parameter to annotate using NLP

    >= 1 characters

    Default: q

    extractorRules - array[object]

    Define rules to extract annotated text into separate parameters

    object attributes:{extractedAnnotationType required : {
     display name: Annotation Type to Extract
     type: string
    }    labelPattern required : {
     display name: Label Pattern
     type: string
    }    targetParamName required : {
     display name: Target Parameter Name
     type: string
    }    flattenList : {
     display name: Flatten Multiple
     type: boolean
    }    }