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Billsum Full Data

Developed by cs608
A text summarization generation model fine-tuned on the billsum dataset based on facebook/bart-base
Downloads 15
Release Time : 5/17/2023

Model Overview

This model is a sequence-to-sequence language model based on the BART architecture, specifically optimized for the task of summarizing legal bill texts.

Model Features

Domain-Specific Optimization
Specifically optimized for legal bill texts (billsum dataset)
Efficient Summary Generation
Capable of extracting key information from lengthy legal texts to generate concise summaries
Multi-round Training Optimization
Underwent 3 full rounds of training with stable improvement in various metrics

Model Capabilities

Legal Text Summarization Generation
Long Text Compression
Key Information Extraction

Use Cases

Legal Document Processing
Automatic Bill Summary Generation
Provides automatic summarization services for legislative bodies regarding bill contents
Rouge1 score 18.0383
Legal Document Preprocessing
Performs content compression and key information extraction prior to legal document analysis
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