The content discusses the importance of concise information in the information age, highlighting the need for effective text summarization. It explores the challenges of automatic summarization and the rise of sequence-to-sequence models like LSTM and Transformers. The article delves into various strategies to improve existing architectures, such as fine-tuning hyperparameters and utilizing bio-inspired optimization algorithms like Particle Swarm Optimization. Evaluation metrics like ROUGE scores are used to assess model performance, with experiments showing that Transformer models with Particle Swarm Optimization yield promising results.
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by Aditya Saxen... alle arxiv.org 03-26-2024
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