What are the main challenges in abstractive summarization?

What are the main challenges in abstractive summarization?

The main challenges include maintaining coherence, ensuring factual accuracy, and handling diverse input styles.

Can you explain why coherence is a challenge?

Coherence is challenging because the generated summary must flow logically and connect ideas seamlessly, which is difficult for AI.

What about factual accuracy? Why is that important?

Factual accuracy is crucial because the summary should reflect the original content's information correctly to avoid misinformation.

Are there any techniques to improve these challenges?

Yes, techniques like reinforcement learning, fine-tuning models on specific datasets, and using hybrid approaches can help.