Relation Extraction Model Clinical

Description

Relation Extraction model based on syntactic features using deep learning.

Open in ColabDownload

How to use

model = RelationExtractionModel.pretrained("re_human_phenotype_gene_clinical","en","clinical/models")\
	.setInputCols("word_embeddings","chunk","pos","dependency")\
	.setOutputCol("category")
val model = RelationExtractionModel.pretrained("re_human_phenotype_gene_clinical","en","clinical/models")
	.setInputCols("word_embeddings","chunk","pos","dependency")
	.setOutputCol("category")

Model Information

Name: re_human_phenotype_gene_clinical  
Type: RelationExtractionModel  
Compatibility: Spark NLP 2.5.5+  
License: Licensed  
Edition: Official  
Input labels: [word_embeddings, chunk, pos, dependency]  
Output labels: [category]  
Language: en  
Case sensitive: False  
Dependencies: embeddings_clinical  

Data Source

Trained on data gathered and manually annotated by John Snow Labs.