How can I improve the results of my text summarization?
To improve summarization results, consider using advanced models like BERT or GPT, and fine-tune them on your specific data.
What are some techniques for fine-tuning these models?
You can use techniques like transfer learning, adjusting hyperparameters, and training on domain-specific datasets.
Are there any tools or libraries you recommend for this?
Yes, libraries like Hugging Face's Transformers and SpaCy are great for implementing and fine-tuning summarization models.
How do I evaluate the quality of the summaries?
You can evaluate summaries using metrics like ROUGE, BLEU, or by conducting human evaluations for more subjective assessments.
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