Legal Ai India Ner Results
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Legal Ai India Ner Results
Developed by Amitava25
This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on the InLegalNER dataset, specifically designed for named entity recognition tasks in Indian legal texts.
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Release Time : 2/10/2025
Model Overview
This is a named entity recognition model optimized for Indian legal texts, capable of identifying key entities in legal documents.
Model Features
Legal Domain Optimization
Fine-tuned based on a pre-trained model in the legal domain, particularly suitable for processing legal texts.
Adaptation to Indian Legal Texts
Trained using the InLegalNER dataset, optimized for the Indian legal environment.
High Performance Metrics
Achieves an F1 score of 0.8552 and accuracy of 0.9741 on the evaluation set.
Model Capabilities
Legal Text Analysis
Named Entity Recognition
Legal Document Processing
Use Cases
Legal Document Processing
Legal Contract Analysis
Automatically identifies key entities in contracts such as parties, dates, amounts, etc.
Recognition accuracy with F1 score of 0.8552
Judicial Document Processing
Extracts key information from court judgments.
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