Lingpipe entity extractor, using the Lingpipe engine to extract entities.
This extractor expects a chunker resource (see the Lingpipe documentation),
which is specified as the model. For applications that do not require
specialized chunkers, the path to the chunker file
ne-en-news-muc6.AbstractCharLmRescoringChunker in the Lingpipe
installation directory will provide reasonable results.
Extract the entities from the text provided. This method iterates
through the loaded models, running each of them against the text data.
For each entity that matches the model, the entity and type is stored in
public java.util.Map<java.lang.String,java.lang.String> extractEntityRawTypes(java.lang.String text)
Retrieve the entities and the raw types for this entity extractor. This
method runs the extraction process on the text, and generates a map that
identifies each entity with a type. The types returned from this method
are not normalized, and dependent on the entity extractor