dl

Type Members

1. class NerDLApproach extends AnnotatorApproach[NerDLModel] with NerApproach[NerDLApproach] with Logging with ParamsAndFeaturesWritable

   

   This Named Entity recognition annotator allows to train generic NER model based on Neural Networks.

   This Named Entity recognition annotator allows to train generic NER model based on Neural Networks. 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. Neural Network architecture is Char CNNs - BiLSTM - CRF that achieves state-of-the-art in most datasets.

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

2. class NerDLModel extends AnnotatorModel[NerDLModel] with HasBatchedAnnotate[NerDLModel] with WriteTensorflowModel with HasStorageRef with ParamsAndFeaturesWritable

   

   This Named Entity recognition annotator allows to train generic NER model based on Neural Networks.

   This Named Entity recognition annotator allows to train generic NER model based on Neural Networks. 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. Neural Network architecture is Char CNNs - BiLSTM - CRF that achieves state-of-the-art in most datasets.

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

3. trait ReadablePretrainedNerDL extends ParamsAndFeaturesReadable[NerDLModel] with HasPretrained[NerDLModel]

   

4. trait ReadsNERGraph extends ParamsAndFeaturesReadable[NerDLModel] with ReadTensorflowModel

   

5. trait WithGraphResolver extends AnyRef