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NER Legal De
N
NER Legal De
Developed by Sahajtomar
This is a German legal domain Named Entity Recognition (NER) model fine-tuned based on GBERT Large, provided by deepset.ai, focusing on identifying specific entities in legal texts.
Downloads 21
Release Time : 3/2/2022
Model Overview
This model is specifically designed for Named Entity Recognition tasks in German legal texts, capable of identifying key entity information in legal documents.
Model Features
High Accuracy
Achieved 98% accuracy in testing, demonstrating excellent performance.
Legal Domain Optimization
Specially fine-tuned for German legal texts, suitable for legal document processing.
Based on GBERT Large
Utilizes the powerful GBERT Large as the base model, with excellent language understanding capabilities.
Model Capabilities
German Legal Text Processing
Named Entity Recognition
Legal Entity Extraction
Use Cases
Legal Document Processing
Legal Document Analysis
Automatically identifies key entities in legal documents such as court names, legal clauses, etc.
Quickly extracts legal-related information from documents.
Legal Research Assistance
Helps legal researchers quickly locate specific entities in documents.
Improves efficiency in legal research.
Transformers
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