Fidicbert
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Fidicbert
Developed by Jzz
FidicBERT is a pre-trained language model for the legal domain based on the RoBERTa architecture, specifically optimized for classification and clustering tasks of contract documents.
Downloads 18
Release Time : 3/2/2022
Model Overview
FidicBERT is a pre-trained language model for analyzing legal texts, built by further training the RoBERTa language model in the legal domain, fine-tuned using a large corpus of legal and contract documents.
Model Features
Legal Domain Optimization
Fine-tuned with legal and contract corpora, specifically optimized for legal text analysis tasks.
Efficient Classification and Clustering
Excels in classification and clustering tasks for contract documents.
Based on RoBERTa
Built on the powerful RoBERTa architecture, inheriting its excellent language understanding capabilities.
Model Capabilities
Legal Text Analysis
Contract Document Classification
Contract Document Clustering
Use Cases
Legal Industry
Automatic Contract Classification
Automatically classify large volumes of contract documents by type to improve work efficiency.
Reduces manual classification time and improves classification accuracy.
Contract Similarity Analysis
Analyze the similarity between contract documents for contract review or template matching.
Quickly identifies similar contracts to assist in legal review.
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