Bert Roberta Summarization Cnn Dailymail
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Bert Roberta Summarization Cnn Dailymail
Developed by Ayham
A text summarization model fine-tuned on the CNN/DailyMail dataset based on BERT or RoBERTa architecture
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Release Time : 3/2/2022
Model Overview
This model is a text summarization model specifically designed for news article summarization tasks. It is based on the Transformer architecture (BERT or RoBERTa variants) and fine-tuned on the CNN/DailyMail dataset.
Model Features
News Summarization Optimization
Summarization capabilities specifically optimized for news article content
Transformer-based Architecture
Utilizes BERT or RoBERTa architecture with strong contextual understanding capabilities
Large-scale Dataset Training
Fine-tuned on the CNN/DailyMail dataset, containing a large number of news article samples
Model Capabilities
News article summarization
Long text compression
Key information extraction
Use Cases
News Media
Automatic News Summarization
Automatically generates concise summaries for lengthy news articles
Improves reader efficiency by quickly capturing key news points
Content Aggregation
News Digest Creation
Automatically generates summary content for daily news digests
Reduces manual editing workload
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