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Kobart Summary V3

Developed by EbanLee
Korean text summarization model fine-tuned based on kobart, generating summaries with more short sentences
Downloads 5,139
Release Time : 3/21/2024

Model Overview

This model is specifically designed for Korean text summarization tasks. Fine-tuned with multiple Korean summarization datasets, it can generate more natural short-sentence summaries

Model Features

Short sentence optimization
Compared to v2, the generated summaries contain more natural short sentences
Multi-dataset fine-tuning
Trained using three specialized datasets: document summarization, book material summarization, and summary/report generation
BART architecture
Utilizes the efficient BART sequence-to-sequence architecture, suitable for text generation tasks

Model Capabilities

Korean text summarization
Long text compression
Key information extraction

Use Cases

News summarization
News content summarization
Compress long news articles into brief summaries
Generates short-sentence summaries containing key facts
Document processing
Academic paper summarization
Automatically generate abstract sections for research papers
Extracts core findings and conclusions from papers
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