Description
This pretrained pipeline is built on the top of roberta_base_token_classifier_ontonotes model.
Predicted Entities
How to use
pipeline = PretrainedPipeline("roberta_base_token_classifier_ontonotes_pipeline", lang = "en")
pipeline.annotate("My name is John and I have been working at John Snow Labs since November 2020.")
val pipeline = new PretrainedPipeline("roberta_base_token_classifier_ontonotes_pipeline", lang = "en")
pipeline.annotate("My name is John and I have been working at John Snow Labs since November 2020."))
Results
Results
+--------------+---------+
|chunk |ner_label|
+--------------+---------+
|John |PERSON |
|John Snow Labs|ORG |
|November 2020 |DATE |
+--------------+---------+
{:.model-param}
Model Information
| Model Name: | roberta_base_token_classifier_ontonotes_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 456.5 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- RoBertaForTokenClassification
- NerConverter
- Finisher