|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.