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Spanbert Base Pheno
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Spanbert Base Pheno
Developed by sadaqabdo
A named entity recognition model fine-tuned on the pheno dataset based on the SpanBert architecture, focusing on entity recognition tasks in the biomedical field.
Downloads 17
Release Time : 4/17/2022
Model Overview
This model adopts the SpanBert architecture and is fine-tuned on the pheno dataset, primarily used to identify named entities in biomedical texts, such as genes, proteins, diseases, etc.
Model Features
Biomedical Domain Optimization
Optimized for biomedical texts, capable of accurately identifying professional terms and entities.
SpanBert Architecture
Utilizes the SpanBert architecture, excelling in span-level entity recognition tasks.
Pheno Dataset Fine-tuning
Fine-tuned on the pheno dataset, specializing in biomedical named entity recognition.
Model Capabilities
Biomedical Text Processing
Named Entity Recognition
Entity Span Detection
Use Cases
Biomedical Research
Literature Entity Extraction
Extract entities such as genes and proteins from biomedical literature
Improves efficiency in literature information extraction
Clinical Record Analysis
Analyze disease and drug entities in clinical records
Supports clinical decision-making
Knowledge Graph Construction
Biomedical Knowledge Graph
Extract entities from texts to build knowledge graphs
Enriches knowledge graph content
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