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Bioformer 8L Ncbi Disease
Bioformer-8L is a biomedical domain named entity recognition model fine-tuned on the NCBI disease dataset, specializing in disease entity recognition.
Downloads 1,973
Release Time : 3/2/2022
Model Overview
This model is based on the Transformer architecture, specifically optimized for biomedical texts, capable of accurately identifying disease-related named entities in texts.
Model Features
Biomedical domain optimization
Specially fine-tuned for biomedical texts, excelling in disease entity recognition tasks
Transformer-based architecture
Utilizes an 8-layer Transformer structure, balancing performance and computational efficiency
Open-source license
Uses the Apache-2.0 license, allowing for commercial and research use
Model Capabilities
Biomedical text processing
Disease entity recognition
Named entity recognition
Use Cases
Biomedical research
Medical literature analysis
Extracting disease-related entities from medical research papers
Helps researchers quickly identify key disease information in literature
Electronic medical record processing
Analyzing disease mentions in clinical records
Assists in medical information extraction and structuring
Medical informatics
Knowledge graph construction
Used as a disease entity extraction component for building biomedical knowledge graphs
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