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Bart Rl
B
Bart Rl
Developed by alaggung
Korean dialogue summarization model based on BART architecture, trained by the 'Alaggung Dalaggung' team in the 2021 Hunminjeongeum Korean Speech & Natural Language AI Competition
Downloads 18
Release Time : 3/2/2022
Model Overview
This model is specifically designed for Korean dialogue summarization tasks, based on the BART architecture and optimized with reinforcement learning techniques, suitable for extracting key information from conversations to generate concise summaries
Model Features
Reinforcement Learning Optimization
Optimizes the base BART model using reinforcement learning techniques to improve summarization quality
Korean Language Specialization
Specifically trained and optimized for the characteristics of Korean dialogue
Dialogue Context Understanding
Capable of understanding contextual relationships in multi-turn dialogues and extracting key information
Model Capabilities
Korean Text Understanding
Dialogue Summarization Generation
Contextual Information Extraction
Use Cases
Instant Messaging
Chat Log Summarization
Generates concise summaries from lengthy instant messaging conversations
Quickly grasp the core content of the conversation
Customer Service Systems
Customer Service Dialogue Summary
Automatically generates summaries of key issues and solutions from customer service dialogues
Improves customer service efficiency and quality analysis
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