Like the NLP Annotator index stage, the NLP Annotator query stage can be included in a 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.