Description
This pretrained pipeline is built on the top of ner_chemprot_clinical model.
How to use
pipeline = PretrainedPipeline("ner_chemprot_clinical_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("ner_chemprot_clinical_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.med_ner.chemprot_clinical.pipeline").predict("""Keratinocyte growth factor and acidic fibroblast growth factor are mitogens for primary cultures of mammary epithelium.""")
Results
+----+---------------------------------+---------+-------+----------+
| | chunk | begin | end | entity |
+====+=================================+=========+=======+==========+
| 0 | Keratinocyte growth factor | 0 | 25 | GENE-Y |
+----+---------------------------------+---------+-------+----------+
| 1 | acidic fibroblast growth factor | 31 | 61 | GENE-Y |
+----+---------------------------------+---------+-------+----------+
Model Information
| Model Name: | ner_chemprot_clinical_pipeline |
| Type: | pipeline |
| Compatibility: | Healthcare NLP 3.4.1+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 1.7 GB |
Included Models
- DocumentAssembler
- SentenceDetectorDLModel
- TokenizerModel
- WordEmbeddingsModel
- MedicalNerModel
- NerConverter