Deep learning-based extractive and abstractive summarization for the Azerbaijani language
A systematic evaluation of both extractive methods based on sentence ranking and an abstractive approach using a fine-tuned mT5-base model for Azerbaijani text summarization yields strong results that highlight the benefits of task specific fine-tuning for abstractive summarization, while also demonstrating the competitiveness of extractive baselines.