Entity Name Extraction API
Extract persons, organizations, locations, and miscellaneous entities from unstructured text using transformer-based NLP models. Three language-specific endpoints let you route each request to the model pool that best fits your input language, giving you higher accuracy than a one-size-fits-all approach.
3 endpoints
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the data below comes straight from the public marketplace listing.
Entity Name Extraction API endpoints
| Method | Endpoint | Description |
|---|---|---|
| POST |
extractEntitiesEnglish /v2/entities/english |
Extracts named entities using the English-optimized model pool (dbmdz/bert-large-cased-finetuned-conll03-english). Use for English-language input to get better accuracy than the… |
| POST |
extractEntitiesGerman /v2/entities/german |
Extracts named entities using the German-optimized model pool (FacebookAI/xlm-roberta-large-finetuned-conll03-german). Use for German-language input to get better accuracy than… |
| POST |
extractEntitiesMultilingual /v2/entities/multilingual |
Extracts named entities using the multilingual model pool (xlm-roberta-large). Best for mixed-language or unknown-language input. Max text length: 5000 characters. |
