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Legal Bert Ner Base Cased Ptbr

Developed by dominguesm
A named entity recognition model for Portuguese legal texts, fine-tuned based on BERT architecture, designed to identify specific entity categories in legal documents.
Downloads 619
Release Time : 10/14/2022

Model Overview

This model aims to assist NLP research in the legal field, computational law, and legal technology applications, capable of identifying entities such as persons, organizations, locations, time, legislation, and case law in legal texts.

Model Features

Legal Domain Optimization
Specially fine-tuned for Portuguese legal texts, optimized for legal terminology and entity recognition capabilities
High-precision Entity Recognition
Achieves an F1 score of 0.952 on the test set, with an accuracy of 0.989
Comprehensive Entity Categories
Supports recognition of 6 legal-related entity types: persons, organizations, locations, time, legislation, and case law

Model Capabilities

Legal Text Analysis
Named Entity Recognition
Legal Document Processing
Entity Classification

Use Cases

Legal Research
Automatic Legal Document Annotation
Automatically identifies and annotates key entities in legal documents
Improves legal document processing efficiency
Legal Information Extraction
Extracts structured information from large volumes of legal texts
Supports legal knowledge graph construction
Judicial System
Case Law Analysis
Automatically identifies key entities and citations in case law
Assists judges and lawyers in case studies
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