Description
This pretrained pipeline is built on the top of bert_token_classifier_ner_bionlp model.
How to use
pipeline = PretrainedPipeline("bert_token_classifier_ner_bionlp_pipeline", "en", "clinical/models")
pipeline.annotate("Both the erbA IRES and the erbA/myb virus constructs transformed erythroid cells after infection of bone marrow or blastoderm cultures. The erbA/myb IRES virus exhibited a 5-10-fold higher transformed colony forming efficiency than the erbA IRES virus in the blastoderm assay.")
val pipeline = new PretrainedPipeline("bert_token_classifier_ner_bionlp_pipeline", "en", "clinical/models")
pipeline.annotate("Both the erbA IRES and the erbA/myb virus constructs transformed erythroid cells after infection of bone marrow or blastoderm cultures. The erbA/myb IRES virus exhibited a 5-10-fold higher transformed colony forming efficiency than the erbA IRES virus in the blastoderm assay.")
import nlu
nlu.load("en.classify.token_bert.biolp.pipeline").predict("""Both the erbA IRES and the erbA/myb virus constructs transformed erythroid cells after infection of bone marrow or blastoderm cultures. The erbA/myb IRES virus exhibited a 5-10-fold higher transformed colony forming efficiency than the erbA IRES virus in the blastoderm assay.""")
Results
+-------------------+----------------------+
|chunk |ner_label |
+-------------------+----------------------+
|erbA IRES |Organism |
|erbA/myb virus |Organism |
|erythroid cells |Cell |
|bone marrow |Multi-tissue_structure|
|blastoderm cultures|Cell |
|erbA/myb IRES virus|Organism |
|erbA IRES virus |Organism |
|blastoderm |Cell |
+-------------------+----------------------+
Model Information
| Model Name: | bert_token_classifier_ner_bionlp_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 3.4.1+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 404.8 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- MedicalBertForTokenClassifier
- NerConverter