B

Bart Large Cnn Finetuned Split Laws

Developed by viktor-shevchuk
This model is a fine-tuned text summarization model based on facebook/bart-large-cnn, excelling in generating summaries for legal texts.
Downloads 46
Release Time : 8/26/2024

Model Overview

A BART-based text summarization model, specifically fine-tuned for legal texts, capable of producing concise and accurate summaries of legal documents.

Model Features

Legal Text Optimization
Specifically fine-tuned for legal texts, better handling legal terminology and complex sentence structures.
Efficient Summarization
Capable of extracting key information from long texts to generate concise and accurate summaries.
Fine-tuning Performance
Performs well on ROUGE metrics, achieving Rouge1 score of 36.17.

Model Capabilities

Legal Text Summarization
Long Text Compression
Key Information Extraction

Use Cases

Legal Document Processing
Legal Contract Summarization
Automatically generates summaries of key clauses in legal contracts.
On average, produces accurate summaries of around 80 words.
Court Document Processing
Extracts core content from lengthy court documents.
Professional Document Analysis
Research Report Summarization
Generates executive summaries for lengthy research reports.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase