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Bert Base German Finetuned Ler
Fine-tuned based on the German BERT base version, customized for Legal Entity Recognition (LER) tasks, suitable for fine-grained named entity recognition in German legal documents.
Downloads 240
Release Time : 3/2/2022
Model Overview
This model is a German legal entity recognition model fine-tuned from bert-base-german-cased, specifically designed to identify various entities from legal documents.
Model Features
Specialized for Legal Domain
Optimized specifically for German legal documents, capable of identifying specific entity types in legal texts
Fine-grained Entity Recognition
Supports recognition of up to 19 different legal entity types
High Performance
Achieves an F1 score of 85.67 and accuracy of 98.46 on the validation set
Model Capabilities
German legal text analysis
Fine-grained entity recognition
Legal document processing
Use Cases
Legal Document Processing
Court Judgment Analysis
Extract key legal entities from German Federal Court judgment documents
Accurately identifies key information such as parties involved and legal provisions in judgments
Legal Research Assistance
Helps legal researchers quickly locate key entities in documents
Improves efficiency in legal document analysis
Transformers
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