Description
This pretrained pipeline is built on the top of ner_anatomy_coarse_biobert model.
Predicted Entities
Anatomy
How to use
pipeline = PretrainedPipeline("ner_anatomy_coarse_biobert_pipeline", "en", "clinical/models")
pipeline.annotate("content in the lung tissue")
val pipeline = new PretrainedPipeline("ner_anatomy_coarse_biobert_pipeline", "en", "clinical/models")
pipeline.annotate("content in the lung tissue")
import nlu
nlu.load("en.med_ner.anatomy_coarse_biobert.pipeline").predict("""content in the lung tissue""")
Results
| | ner_chunk | entity |
|---:|:------------------|:----------|
| 0 | lung tissue | Anatomy |
Model Information
| Model Name: | ner_anatomy_coarse_biobert_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 3.4.1+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 422.0 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- BertEmbeddings
- MedicalNerModel
- NerConverter