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Bart R3f
A Korean dialogue summarization model based on the BART pre-trained model, trained with R3F technology, participating in the 2021 Hunminjeongeum Korean Speech & Natural Language AI Competition
Downloads 135
Release Time : 3/2/2022
Model Overview
This model is specifically designed for Korean dialogue summarization tasks, capable of extracting key information from conversations to generate concise summaries. Based on the BART architecture and optimized with R3F training techniques.
Model Features
R3F Optimized Training
Trained using R3F (Robustly Regularized Fine-tuning) technology to enhance performance in dialogue summarization tasks
Korean Dialogue Optimization
Specially optimized for Korean dialogue scenarios, understanding the unique structure and expressions in Korean conversations
Multi-turn Dialogue Processing
Capable of effectively processing multi-turn dialogues to extract key information and generate coherent summaries
Model Capabilities
Korean Text Understanding
Dialogue Summarization
Multi-turn Dialogue Processing
Use Cases
Instant Messaging
Chat Log Summarization
Automatically generates concise summaries from lengthy chat conversations
As shown in the example, it accurately extracts the core content of the dialogue
Customer Service Systems
Customer Service Dialogue Summary
Automatically generates summaries of key issues and solutions from customer service dialogues
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