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New BioNLP NER Model
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BioNLP-CG NER model:
BioNLP Named Entity Recognition (NER) model is the first NER model in the Spark NLP library that is trained on Cancer Genetics dataset with SOTA NER architecture.
The Cancer Genetics (CG) task is an information extraction task organized as part of the BioNLP Shared Task 2013. The CG task aims to advance the automatic extraction of information from statements on the biological processes relating to the development and progression of cancer. Details here: http://2013.bionlp-st.org/tasks/cancer-genetics
There are 16 different entities in this NER model:
| Entities |
|---|
| Gene_or_gene_product |
| Organism |
| Organ |
| Anatomical_system |
| Cell |
| Multi |
| Tissue |
| Pathological_formation |
| Cancer |
| Simple_chemical |
| Amino_acid |
| Cellular_component |
| Organism_subdivision |
| Developing_anatomical_structure |
| Immaterial_anatomical_entity |
| Organism_substance |
| |
Spark NLP:
- HEALTHCARE
- PUBLIC
Last update
-- 27/11/2019
Works with:
-- 2.3.x and above