Type Members

1.  case class DictionaryFeatures(dict: Map[String, String]) extends Product with Serializable
2.  case class FeatureGenerator(dictFeatures: DictionaryFeatures) extends Product with Serializable

   Generates features for CrfBasedNer

3.  class NerCrfApproach extends AnnotatorApproach[NerCrfModel] with NerApproach[NerCrfApproach]

   Algorithm for training Named Entity Recognition Model

   Algorithm for training Named Entity Recognition Model

   This Named Entity recognition annotator allows for a generic model to be trained by utilizing a CRF machine learning algorithm. Its train data (train_ner) is either a labeled or an external CoNLL 2003 IOB based spark dataset with Annotations columns. Also the user has to provide word embeddings annotation column. Optionally the user can provide an entity dictionary file for better accuracy

   See https://github.com/JohnSnowLabs/spark-nlp/tree/master/src/test/scala/com/johnsnowlabs/nlp/annotators/ner/crf for further reference on this API.

4.  class NerCrfModel extends AnnotatorModel[NerCrfModel] with HasSimpleAnnotate[NerCrfModel] with HasStorageRef

   Algorithm for training Named Entity Recognition Model

   Algorithm for training Named Entity Recognition Model

   This Named Entity recognition annotator allows for a generic model to be trained by utilizing a CRF machine learning algorithm. Its train data (train_ner) is either a labeled or an external CoNLL 2003 IOB based spark dataset with Annotations columns. Also the user has to provide word embeddings annotation column. Optionally the user can provide an entity dictionary file for better accuracy

   See https://github.com/JohnSnowLabs/spark-nlp/tree/master/src/test/scala/com/johnsnowlabs/nlp/annotators/ner/crf for further reference on this API.

5.  trait ReadablePretrainedNerCrf extends ParamsAndFeaturesReadable[NerCrfModel] with HasPretrained[NerCrfModel]