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BENT PubMedBERT NER Gene
B
BENT PubMedBERT NER Gene
Developed by pruas
This is a named entity recognition model fine-tuned on PubMedBERT, specifically designed to identify gene and protein entities in biomedical texts.
Downloads 87
Release Time : 1/14/2023
Model Overview
This model, fine-tuned on PubMedBERT, specializes in recognizing gene and protein entities in biomedical literature. It integrates multiple biomedical corpora for training and is suitable for various biomedical text analysis tasks.
Model Features
Multi-corpus Training
Incorporates 15 different biomedical corpora for training, covering a wide range of gene and protein entity types
Biomedical Domain Optimization
Fine-tuned on PubMedBERT, specifically optimized for biomedical texts
Fine-grained Entity Recognition
Capable of identifying various gene and protein-related entities, including genes, proteins, protein complexes, enzymes, etc.
Model Capabilities
Biomedical Text Analysis
Gene Entity Recognition
Protein Entity Recognition
Biomedical Literature Mining
Use Cases
Biomedical Research
Literature Gene Mining
Automatically extract gene and protein information from biomedical literature
Enhances literature retrieval and analysis efficiency
Biological Pathway Analysis
Identify genes and proteins involved in specific biological pathways
Supports biological pathway research and modeling
Drug Development
Drug Target Identification
Identify potential drug target genes and proteins from literature
Accelerates the drug discovery process
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