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Bart Summarisation
B
Bart Summarisation
Developed by slauw87
A dialogue summarization model based on the BART-large architecture, specifically fine-tuned on the SAMSum dialogue dataset, capable of generating high-quality dialogue summaries.
Downloads 4,225
Release Time : 3/2/2022
Model Overview
This model utilizes the BART-large architecture and is fine-tuned on the SAMSum dialogue dataset, designed for generating abstractive summaries of conversations. It is suitable for extracting key information from daily dialogues and producing concise summaries.
Model Features
High-Quality Dialogue Summarization
Optimized specifically for dialogue data, capable of extracting key information and generating fluent summaries from conversations.
Based on BART-large Architecture
Leverages the powerful BART-large pre-trained model, excelling in text understanding and generation capabilities.
Fine-Tuned on SAMSum Dataset
Fine-tuned on a high-quality, human-annotated dialogue summarization dataset to ensure summary quality.
Model Capabilities
Dialogue Summarization
Abstractive Text Summarization
Key Information Extraction
Use Cases
Dialogue Analysis
Customer Service Dialogue Summarization
Automatically generates summaries of customer service dialogues to help quickly understand customer issues and solutions.
ROUGE-1 score of 41.8, accurately capturing key points of the dialogue.
Meeting Minutes Summarization
Converts meeting dialogues into concise meeting minutes to improve work efficiency.
ROUGE-L score of 32.36, maintaining semantic coherence.
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