/advanced

Identifies and extracts named entities from the text.

POST https://zero-shot-ner.p.rapidapi.com/ner/advanced

The Advanced NER endpoint is designed for use cases requiring sophisticated named entity recognition and classification capabilities. This model not only recognizes and classifies entities from the provided text based on user-defined descriptions but also has the ability to infer logical relationships between entities and their classes. Furthermore, it offers functionality to group related entities into single clusters, enhancing the structure and interpretability of the output.

Headers

Name	Type	Description
X-RapidAPI-Key*		Your API key
X-RapidAPI-Host*	String	zero-shot-ner.p.rapidapi.com
content-type*	String	application/json

Request Body

Name	Type	Description
text*	String	Text for processing.
schema*	Object array	Array of objects, each defining a specific parameters for a named entity class.
groups	Object	Array of objects, each defining a specific members for entities group.
demojize	Boolean	Converting emoji to string.
threshold	Float	Threshold of scores.
scorer	Boolean	If set to true, the response will contain probability scores for each entity. The default value is set to false.

200: OK Request is successful.

The model has successfully analyzed the input text and labels.

400: Bad Request Invalid or incomplete request.

Check for parameter type mismatches, Invalid characters or bad code formatting. The required header might be wrong, such as X-RapidAPI-Host.

401: Unauthorized Invalid authorization.

Your request lacks proper authorization. Ensure your RapidAPI key is correct and included in the request headers.

404: Not Found Invalid payload or header.

The requested URL or a required header might be wrong, such as X-RapidAPI-Host.

413: Payload Too Large Payload size exceeded.

You've gone over the 15 KB limit with your submitted data. Please see our limits page for proper API request sizes. If you need to increase your limit, our support team is here to help.

500: Internal Server Error Internal server error.

An unexpected issue occurred on our end. We are notified and investigating. If this issue persists or follows a pattern, please contact our support.