Description
This pretrained pipeline is built on the top of bert_token_classifier_ner_chemprot model.
How to use
pipeline = PretrainedPipeline("bert_token_classifier_ner_chemprot_pipeline", "en", "clinical/models")
pipeline.annotate("Keratinocyte growth factor and acidic fibroblast growth factor are mitogens for primary cultures of mammary epithelium.")
val pipeline = new PretrainedPipeline("bert_token_classifier_ner_chemprot_pipeline", "en", "clinical/models")
pipeline.annotate("Keratinocyte growth factor and acidic fibroblast growth factor are mitogens for primary cultures of mammary epithelium.")
import nlu
nlu.load("en.classify.token_bert.chemprot_pipeline").predict("""Keratinocyte growth factor and acidic fibroblast growth factor are mitogens for primary cultures of mammary epithelium.""")
Results
+-------------------------------+---------+
|chunk |ner_label|
+-------------------------------+---------+
|Keratinocyte growth factor |GENE-Y |
|acidic fibroblast growth factor|GENE-Y |
+-------------------------------+---------+
Model Information
| Model Name: | bert_token_classifier_ner_chemprot_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 3.4.1+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 404.7 MB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- MedicalBertForTokenClassifier
- NerConverter