| Function | Description |
|---|---|
| NERTrainer (ML Engine) | Takes training data and outputs CRF model (binary file). |
| NERExtractor (ML Engine) | Takes input documents and extracts specified entities, using one or more CRF models and, if appropriate, rules (regular expressions) or a dictionary. Uses models to extract names of persons, locations, and organizations; rules to extract entities that conform to rules (such as phone numbers, times, and dates); and dictionary to extract known entities. |
| NEREvaluator (ML Engine) | Evaluates CRF model. |
The CRF model implementation supports English, simplified Chinese, and traditional Chinese text.