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Ner Bert Large Cased Pt Lenerbr

Developed by pierreguillou
A named entity recognition model for the Portuguese legal domain, fine-tuned based on the BERT large architecture
Downloads 259
Release Time : 3/2/2022

Model Overview

This model is a named entity recognition (NER) model specifically designed for Portuguese legal texts. It is obtained by fine-tuning the BERT large architecture on the LeNER-Br dataset and can identify specific entity types in legal texts.

Model Features

Specialization in the legal domain
Optimized specifically for Portuguese legal texts and can accurately identify specific entities in legal documents
High-performance indicators
Achieved an F1 value of 0.908 on the validation set, showing excellent performance
Two-stage training
First, adapt the language model to the legal domain, and then fine-tune it for the NER task

Model Capabilities

Legal text entity recognition
Portuguese text processing
Token classification

Use Cases

Legal document processing
Legal clause analysis
Automatically identify entities such as legal references and judicial precedents in legal texts
Accurately identify legal entities such as clauses in the Federal Constitution
Legal research assistance
Help legal researchers quickly locate key entities in documents
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