Description
This pretrained pipeline is built on the top of bert_token_classifier_dutch_udlassy_ner model.
Predicted Entities
How to use
pipeline = PretrainedPipeline("bert_token_classifier_dutch_udlassy_ner_pipeline", lang = "nl")
pipeline.annotate("Mijn naam is Peter Fergusson. Ik woon sinds oktober 2011 in New York en werk 5 jaar bij Tesla Motor.")
val pipeline = new PretrainedPipeline("bert_token_classifier_dutch_udlassy_ner_pipeline", lang = "nl")
pipeline.annotate("Mijn naam is Peter Fergusson. Ik woon sinds oktober 2011 in New York en werk 5 jaar bij Tesla Motor.")
Results
Results
+---------------+---------+
|chunk |ner_label|
+---------------+---------+
|Peter Fergusson|PERSON |
|oktober 2011 |DATE |
|New York |GPE |
|5 jaar |DATE |
|Tesla Motor |ORG |
+---------------+---------+
{:.model-param}
Model Information
| Model Name: | bert_token_classifier_dutch_udlassy_ner_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | nl |
| Size: | 408.0 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- BertForTokenClassification
- NerConverter
- Finisher